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KAIST Uncovers the Mechanism Behind Overactive Immune Cells
<(From Right) Professor Eui-Cheol Shin, Ph.D candidate So-Young Kim, Professor Su-Hyung Park, Professor Hyuk Soo Eun, Dr. Hoyoung Lee>
“Why do immune cells that are supposed to eliminate viruses suddenly turn against our own body?”
There are instances where killer T cells—which are meant to precisely remove virus-infected cells—malfunction like overheated engines, attacking even healthy cells and damaging tissues. A KAIST research team has now identified the key mechanism that regulates this excessive activation of killer T cells, offering new insights into controlling immune overreactions and developing therapies for immune-related diseases.
KAIST (President Kwang Hyung Lee) announced on November 5 that a research team led by Professors Eui-Cheol Shin and Su-Hyung Park from the Graduate School of Medical Science and Engineering, in collaboration with Professor Hyuk Soo Eun from Chungnam National University College of Medicine, has uncovered the molecular basis of nonspecific activation in killer T cells and proposed a new therapeutic strategy to control it.
Killer T cells (CD8⁺ T cells) selectively eliminate infected cells to prevent viral spread. However, when excessively activated, they can attack uninfected cells, causing inflammation and tissue damage. Such overactive immune responses can lead to severe viral infections and autoimmune diseases.
In 2018, Professor Shin’s team was the first in the world to discover that killer T cells can be nonspecifically activated by cytokines and randomly attack host cells—a phenomenon they termed “bystander activation of T cells”. The current study builds on that discovery by revealing the molecular mechanism driving this abnormal process.
The team focused on a cytokine called interleukin-15 (IL-15). Experiments showed that IL-15 can abnormally excite killer T cells by a bystander activation mechanism, causing them to attack uninfected host cells. However, when there is a concurrent antigen-specific stimulation, IL-15-induced bystander activation is suppressed.
The researchers further identified that this suppression occurs through an intracellular signaling process. When the concentration of calcium ions (Ca²⁺) changes, a protein called calcineurin activates, which in turn triggers a regulatory protein known as NFAT, suppressing IL-15-induced bystander activation of killer T cells. In other words, the calcineurin–NFAT pathway activated by antigen stimulation acts as a brake on overactivation by a bystander mechanism.
The team also discovered that some immunosuppressants, which are known to block the calcineurin pathway, may not always suppress immune responses—in certain contexts, they can instead promote IL-15-induced bystander activation of killer T cells. This finding underscores that not all immunosuppressants work the same way and that treatments must be carefully tailored to each patient’s immune response.
Through gene expression analysis, the researchers identified a gene set that increase only in abnormally activated killer T cells induced by IL-15 as markers. They further confirmed that these same markers were elevated in bystander killer T cells from patients with acute hepatitis A, suggesting that the markers could be used for disease diagnosis.
<In a normal immune response, killer T cells are activated by antigen stimulation and selectively eliminate only virus-infected cells, thereby controlling viral replication and promoting the patient’s rapid recovery. However, when killer T cells are nonspecifically overactivated by interleukin-15, they may randomly attack normal cells as well, causing excessive tissue damage and leading to severe disease. Future research may identify diseases in which such nonspecific hyperimmune responses occur, making it possible to develop new drugs to control them>
This study provides crucial clues for understanding the pathogenesis of various immune-related diseases, including severe viral infections, chronic inflammatory disorders, autoimmune diseases, and organ transplant rejection. It also paves the way for developing novel immunoregulatory therapies targeting IL-15 signaling.
Professor Eui-Cheol Shin explained that, “this study shows that killer T cells are not merely defenders—they can transform into ‘nonspecific attackers’ depending on the inflammatory environment. By precisely regulating this abnormal activation, we may be able to develop new treatments for intractable immune diseases.”
This research was published in the journal Immunity on October 31, with Dr. Hoyoung Lee and Ph.D. candidate So-Young Kim as co–first authors.
Title: “TCR signaling via NFATc1 constrains IL-15-induced bystander activation of human memory CD8⁺ T cells”, DOI: doi.org/10.1016/j.immuni.2025.10.002
The study was supported by the National Research Foundation of Korea (NRF), the Korea Health Industry Development Institute (KHIDI), and the Institute for Basic Science (IBS).
2025.11.06 View 2943 -
KAIST and the World Bank Launch Digital Innovation Initiative to Boost Youth Employment in East Africa
Daejeon, Republic of Korea — November 2025 — KAIST has joined forces with the World Bank to launch a new initiative aimed at advancing youth employment and social protection systems through digital innovation in East Africa. The project, titled “Enhancing Youth Employment Policies through Digital Technologies,” will be implemented in Rwanda, Kenya, and Tanzania over the next three years.
The initiative is jointly led by Professor Kyung Ryul Park of the KAIST Graduate School of Science and Technology Policy, John Van Dyck, Director of the World Bank’s Social Protection and Labor (SPL) Global Practice, and Yoon Young Cho, Senior Economist at the World Bank. Supported by the Korea–World Bank Partnership Facility (KWPF), the project is funded at approximately KRW 1.4 billion (USD 980,000) and will run through 2028.
The collaboration aims to strengthen youth employment and advance the digital transformation of social protection systems in East Africa. In many developing countries, such systems are still managed manually, resulting in inefficiencies and inaccuracies. To address these challenges, the project will establish AI- and big data–driven digital social registry systems that enhance transparency, accuracy, and efficiency in social service delivery.
Beyond technology transfer, the project will also explore broader social and policy challenges that arise in digital labor markets — including algorithmic bias, ethical considerations in AI, and new forms of inequality. Through this work, the partners aim to develop a new model for an “inclusive AI transition,” ensuring that technological innovation contributes to social inclusion and sustainable development. Findings from the project will be published in World Bank reports and policy briefs.
As a global leader in digital governance and data-driven policymaking, South Korea’s experience is expected to play a key role in helping East African governments design and implement resilient, inclusive, and data-based labor and social protection systems.
The KAIST Global Center for Development and Strategy (G-CODEs) will organize two international workshops in collaboration with the Korea Development Institute (KDI), the Ministry of Employment and Labor of Korea, and the Kenya Advanced Institute of Science and Technology (Kenya-AIST). These workshops will help local officials build capacity in applying digital technologies, while providing KAIST researchers and students with hands-on experience in global development cooperation.
A kickoff workshop was held during the World Bank Annual Meetings earlier this month, with participation from Professors Kyung-Ryul Park and Seok-Kyun Woo (Graduate School of Science and Technology Policy), Dean Ji-Yong Eom (Graduate School of Green Growth and Sustainability), Researcher Seung-Hyun Kim, and Consultant Ji-Su Sim (M.S. Class of 2025, STP).
“This collaboration is not merely a technical project but an innovative effort to digitally connect youth employment and social protection systems,” said John Van Dyck, Director of the World Bank SPL Global Practice. “It will help East African governments design sustainable and inclusive digital labor infrastructures.”
Yoon Young Cho, Senior Economist at the World Bank, added, “The project seeks to digitalize social protection systems in East Africa to promote youth employment and social inclusion, focusing on building sustainable, government-led public digital solutions.”
Professor Kyung-Ryul Park of KAIST stated, “Through this partnership with the World Bank, we hope to support inclusive development in East Africa while offering KAIST researchers and students valuable opportunities to learn and grow through real-world international cooperation.”
2025.11.05 View 3321 -
Battery Tackling Fire Hazard, Volume, and Weight Simultaneously
<(From Left) Professor Hye Ryung Byon, Ph.D candidate Rak Hyeon Choi, Professor Chang Yun Son>
Lithium-metal batteries are garnering attention as the next-generation high-energy battery set to replace existing lithium-ion batteries. However, commercialization has been difficult due to the high fire risk associated with using flammable liquid electrolytes. As an alternative to solve this, 'organic solid electrolytes' with flexibility were proposed, but their slow lithium-ion transfer rate at room temperature limited their practical application. Korean researchers have succeeded in developing a solid electrolyte that enhances lithium-ion mobility by 100 times and operates at room temperature.
KAIST announced on November 4th that a research team led by Professor Hye Ryung Byon from KAIST Department of Chemistry, in collaboration with Professor Chang Yun Son's team from Seoul National University, has developed a new organic solid electrolyte film that operates stably even at room temperature.
The research team fabricated a solid electrolyte about 1/5 the thickness of a human hair using a new material called 'Covalent Organic Framework (COF)', which has a porous structure with uniformly arranged holes.
The developed COF electrolyte features a porous crystalline structure similar to the Metal Organic Framework (MOF), which won the 2025 Nobel Prize in Chemistry, but with significantly enhanced chemical stability in the battery operating environment.
The team meticulously arranged lithium-ion transporting functional groups at regular intervals, designing the structure so that lithium ions, which previously only moved at high temperatures, could rapidly move along these functional groups even at room temperature. This implemented a solid electrolyte structure where the lithium-ion migration path can be precisely controlled at the molecular level.
Specifically, the research team introduced a 'dual sulfonated functional group' into the nanopores to facilitate the easy detachment (dissociation) and movement of lithium ions, creating a channel that allows lithium ions to move rapidly along the shortest linear path. Molecular Dynamics (MD) simulations confirmed that this structure lowers the energy required for lithium ion movement, enabling fast migration with less energy and stable operation even at room temperature.
The fabricated electrolyte film is made via a 'Self-assembly' method, resulting in a very smooth surface and uniform structure. Consequently, it adheres perfectly to the lithium metal electrode, allowing ions to move more stably when traveling between electrodes.
<Figure 1. Synthesis process and structural/electrochemical properties of ultrathin covalent organic framework (COF) films according to thickness.(a) Synthesis process of ultrathin COF solid electrolyte, (b) Changes in thickness and surface roughness of COF films according to monomer concentration,(c) Changes in crystallinity of COF solid electrolytes with variations in morphology and thickness, (d) Ionic conductivity characteristics of COF solid electrolytes depending on morphology and thickness,(e) Rate capability of lithium metal–lithium iron phosphate (LiFePO₄) batteries, (f) Cycle life characteristics of lithium metal–lithium iron phosphate batteries >
As a result, the developed electrolyte showed a lithium-ion migration speed 10 to 100 times faster than conventional organic solid electrolytes. When applied to a lithium-iron phosphate battery based on lithium metal, it maintained over 95% of its initial capacity even after 300 charge/discharge cycles, demonstrating high stability with almost no energy loss (Coulombic efficiency of 99.999%).
<Figure 2. Molecular dynamics simulation analysis of the lithium-ion conduction mechanism in the COF solid electrolyte. (a) Lithium-ion (turquoise spheres) conduction pathways through two distinct ionic conduction subchannels within the COF, (b) Two-dimensional free energy landscape of each migration pathway obtained from metadynamics simulations >
Professor Hye Ryung Byon stated, "This research represents a step forward in the commercialization of lithium-metal batteries by realizing an organic solid electrolyte capable of fast lithium-ion migration even at room temperature," adding, "Combining it in a hybrid form with inorganic solid electrolytes could improve interfacial stability issues."
The first author of this research is Rak Hyeon Choi, a graduate student in the KAIST Chemistry Department, and the results were published in the international journal Advanced Energy Materials (October 5, 2025 issue).
Paper Title: Room-Temperature Single Li⁺ Ion Conducting Organic Solid-State Electrolyte with 10⁻⁴ S cm⁻¹ Conductivity for Lithium Metal Batteries, DOI: 10.1002/aenm.202504143
This achievement was supported by LG Energy Solution and KAIST's Frontier Research Laboratory (FRL), as well as the National Research Fou
2025.11.05 View 1778 -
KAIST Develops Room-Temperature 3D Printing Technology for ‘Electronic Eyes’—Miniaturized Infrared Sensors
<(From Left) Professor Ji Tae Kim of the Department of Mechanical Engineering, Professor Soong Ju Oh of Korea University and Professor Tianshuo Zhao of the University of Hong Kong>
The “electronic eyes” technology that can recognize objects even in darkness has taken a step forward. Infrared sensors, which act as the “seeing” component in devices such as LiDAR for autonomous vehicles, 3D face recognition systems in smartphones, and wearable healthcare devices, are regarded as key components in next-generation electronics. Now, a research team at KAIST and their collaborators have developed the world’s first room-temperature 3D printing technology that can fabricate miniature infrared sensors in any desired shape and size.
KAIST (President Kwang Hyung Lee) announced on the 3rd of November that the research team led by Professor Ji Tae Kim of the Department of Mechanical Engineering, in collaboration with Professor Soong Ju Oh of Korea University and Professor Tianshuo Zhao of the University of Hong Kong, has developed a 3D printing technique capable of fabricating ultra-small infrared sensors—smaller than 10 micrometers (µm)—in customized shapes and sizes at room temperature.
Infrared sensors convert invisible infrared signals into electrical signals and serve as essential components in realizing future electronic technologies such as robotic vision. Accordingly, miniaturization, weight reduction, and flexible form-factor design have become increasingly important.
Conventional semiconductor fabrication processes were well suited for mass production but struggled to adapt flexibly to rapidly changing technological demands. They also required high-temperature processing, which limited material choices and consumed large amounts of energy.
To overcome these challenges, the research team developed an ultra-precise 3D printing process that uses metal, semiconductor, and insulator materials in the form of liquid nanocrystal inks, stacking them layer by layer within a single printing platform.
This method enables direct fabrication of core components of infrared sensors at room temperature, allowing for the realization of customized miniature sensors of various shapes and sizes.
Particularly, the researchers achieved excellent electrical performance without the need for high-temperature annealing by applying a “ligand-exchange” process, where insulating molecules on the surface of nanoparticles are replaced with conductive ones.
As a result, the team successfully fabricated ultra-small infrared sensors measuring less than one-tenth the thickness of a human hair (under 10 µm).
<Figure 1. 3D printing of infrared sensors.a. Room-temperature printing process for the electrodes and photoactive layer that make up the infrared sensor.b. Structure and chemical composition of the printed infrared microsensor. c.Printed infrared sensor micropixel array.>
Professor Ji Tae Kim commented, “The developed 3D printing technology not only advances the miniaturization and lightweight design of infrared sensors but also paves the way for the creation of innovative new form-factor products that were previously unimaginable. Moreover, by reducing the massive energy consumption associated with high-temperature processes, this approach can lower production costs and enable eco-friendly manufacturing—contributing to the sustainable development of the infrared sensor industry.”
The research results were published online in Nature Communications on October 16, 2025, under the title “Ligand-exchange-assisted printing of colloidal nanocrystals to enable all-printed sub-micron optoelectronics” (DOI: https://doi.org/10.1038/s41467-025-64596-4).
This research was supported by the Ministry of Science and ICT of Korea through the Excellent Young Researcher Program (RS−2025−00556379), the National Strategic Technology Material Development Program (RS−2024−00407084), and the International Cooperation Research Program for Original Technology Development (RS−2024−00438059).
2025.11.03 View 5028 -
KAIST Welcomes NVIDIA CEO Jensen Huang’s Cooperation Initiative “Strengthening Collaboration in AI and Robotics Innovation”
KAIST (President Kwang Hyung Lee) announced its strong support for the meeting between Korean President Jae-myung Lee and NVIDIA CEO Jensen Huang on October 31, where both sides discussed strategies to advance Korea’s AI ecosystem.
KAIST stated that the meeting marks “a significant turning point for Korea’s AI innovation and global cooperation.” During the discussion, NVIDIA, a global leader in artificial intelligence, explored partnership opportunities with the Korean government to realize its vision of becoming one of the “Top Three AI Nations” and achieving an “AI-based Society.”
NVIDIA also unveiled plans to expand Korea’s AI computing infrastructure by introducing more than 260,000 of its latest GPUs, while strengthening technology cooperation to meet both public and private sector AI demand.
The meeting covered a wide range of potential collaborations, including:
Building advanced AI infrastructure, joint research and technology cooperation in physical AI (AI in robotics, autonomous systems, and manufacturing), and
expanding AI talent development and startup support programs.
At the APEC CEO Summit, NVIDIA CEO Jensen Huang said, “NVIDIA’s goal is not only to provide hardware to Korea, but to help build a sustainable AI ecosystem. And we will work closely with AI researchers in Korea universities, amazing university like KAIST, startups, the government, and research institutions to become the AI Frontier.”
He further emphasized that, “The evolution of AI will inevitably converge with robotics. Realizing autonomous robots and robotic factories that can work alongside humans represents the next stage and ultimate goal of AI technology.”
As Korea’s leading AI research institution, KAIST has long collaborated with government and industry partners in key areas such as AI semiconductors, autonomous driving, robotics, digital twins, and quantum computing.
Building on this dialogue, KAIST plans to further strengthen its partnership with NVIDIA and major domestic industries through next-generation AI semiconductor and HBM (High Bandwidth Memory) research, physical AI applications in robotics and autonomous systems, hands-on AI education and talent development, and global open innovation through academia–industry joint research.
KAIST President Kwang Hyung Lee stated: “AI is the core driver of national competitiveness. Jensen Huang’s visit represents a symbolic milestone as Korea emerges as a global leader in AI.” He added: “Huang’s vision of integrating AI and robotics aligns perfectly with KAIST’s research direction. KAIST will continue to work closely with NVIDIA to build an AI innovation ecosystem that benefits humanity.”
Following CEO Huang’s proposal, KAIST will further concretize its collaboration with NVIDIA and expand partnerships with both global enterprises and domestic industries.
Through these efforts, KAIST aims to advance AI research clusters, develop next-generation AI computing platforms, nurture AI professionals, and foster a vibrant startup ecosystem, contributing continuously to Korea’s global AI competitiveness.
2025.11.03 View 2350 -
KAIST Researchers Uncover Critical Security Flaws in Global Mobile Networks
Breakthrough Discovery Reveals How Attackers Can Remotely Manipulate User Data Without Physical Proximity
DAEJEON, South Korea — In an era when recent cyberattacks on major telecommunications providers have highlighted the fragility of mobile security, researchers at the Korea Advanced Institute of Science and Technology have identified a class of previously unknown vulnerabilities that could allow remote attackers to compromise cellular networks serving billions of users worldwide.
The research team, led by Professor Yongdae Kim of KAIST's School of Electrical Engineering, discovered that unauthorized attackers could remotely manipulate internal user information in LTE core networks — the central infrastructure that manages authentication, internet connectivity, and data transmission for mobile devices and IoT equipment.
The findings, presented at the 32nd ACM Conference on Computer and Communications Security in Taipei, Taiwan, earned the team a Distinguished Paper Award, one of only 30 such honors selected from approximately 2,400 submissions to one of the field's most prestigious venues.
A New Class of Vulnerability
The vulnerability class, which the researchers termed "Context Integrity Violation" (CIV), represents a fundamental breach of a basic security principle: unauthenticated messages should not alter internal system states. While previous security research has primarily focused on "downlink" attacks — where networks compromise devices — this study examined the less-scrutinized "uplink" security, where devices can attack core networks.
"The problem stems from gaps in the 3GPP standards," Professor Kim explained, referring to the international body that establishes operational rules for mobile networks. "While the standards prohibit processing messages that fail authentication, they lack clear guidance on handling messages that bypass authentication procedures entirely."
The team developed CITesting, the world's first systematic tool for detecting these vulnerabilities, capable of examining between 2,802 and 4,626 test cases — a vast expansion from the 31 cases covered by the only previous comparable research tool, LTEFuzz.
Widespread Impact Confirmed
Testing four major LTE core network implementations — both open-source and commercial systems — revealed that all contained CIV vulnerabilities. The results showed:
Open5GS: 2,354 detections, 29 unique vulnerabilities
srsRAN: 2,604 detections, 22 unique vulnerabilities
Amarisoft: 672 detections, 16 unique vulnerabilities
Nokia: 2,523 detections, 59 unique vulnerabilities
The research team demonstrated three critical attack scenarios: denial of service by corrupting network information to block reconnection; IMSI exposure by forcing devices to retransmit user identification numbers in plaintext; and location tracking by capturing signals during reconnection attempts.
Unlike traditional attacks requiring fake base stations or signal interference near victims, these attacks work remotely through legitimate base stations, affecting anyone within the same MME (Mobility Management Entity) coverage area as the attacker — potentially spanning entire metropolitan regions.
Industry Response and Future Implications
Following responsible disclosure protocols, the research team notified affected vendors. Amarisoft deployed patches, and Open5GS integrated the team's fixes into its official repository. Nokia, however, stated it would not issue patches, asserting compliance with 3GPP standards and declining to comment on whether telecommunications companies currently use the affected equipment.
"Uplink security has been relatively neglected due to testing difficulties, implementation diversity, and regulatory constraints," Professor Kim noted. "Context integrity violations can pose serious security risks."
The research team, which included KAIST doctoral students Mincheol Son and Kwangmin Kim as co-first authors, along with Beomseok Oh and Professor CheolJun Park of Kyung Hee University, plans to extend their validation to 5G and private 5G environments. The tools could prove particularly critical for industrial and infrastructure networks, where breaches could have consequences ranging from communication disruption to exposure of sensitive military or corporate data.
The research was supported by the Ministry of Science and ICT through the Institute for Information & Communications Technology Planning & Evaluation, as part of a project developing security technologies for 5G private networks.
With mobile networks forming the backbone of modern digital infrastructure, the discovery underscores the ongoing challenge of securing systems designed in an era when such sophisticated attacks were barely conceivable — and the urgent need for updated standards to address them.
2025.11.03 View 3094 -
Failure in the AI Era? The 3rd Failure Conference Held
< 2025 Failure Conference Poster >
KAIST announced on the 31st of October that it will be holding the '3rd Failure Conference' from Wednesday, November 5th to Friday, November 14th. The event is organized by the KAIST Center for Ambitious Failure (Director Sungho Jo), and, under the theme 'AI times Failure,' it will re-examine the value of humaneness through the sensibility of 'failure' in this era of great transformation led by AI technology.
Composed of lectures, competitions, exhibitions, and networking programs, this conference provides a venue for new introspection on the relationship between humanity, society, and technology through the lens of 'failure.'
Failure Seminar 'AI Era, Asking the Way of Humanity' will be held on November 6th at the Jeong Geun-mo Conference Hall in the Academic and Cultural Complex
Professor Juho Kim of the KAIST School of Computing will discuss the human sensibility and resilience needed in the AI era through the paradox that "AI learns how to fail less, but humans are losing the opportunity to fail. Following this, Professor Sang Wook Lee of the Hanyang University Department of Philosophy will present philosophical and ethical challenges and practical directions for the advancement of AI technology to lead to universal welfare for humanity. The 'AI times Failure Idea Contest' Finals will take place on November 7th at the John Hanner Hall in the Academic and Cultural Complex. 12 teams, selected from preliminaries that included 111 teams from universities and graduate schools nationwide, will demonstrate their ideas in booth form on the theme of 'The Future where AI and Humans Coexist.' Participants will explore AI errors, human limitations, and the possibility of trust and recovery, presenting attempts to convert technological failure into human introspection, and human failure into technological possibility. On the day of the finals, the Grand Prize (KAIST President’s Award), First Prize, and Second Prize will be selected through judging.
The Photography Exhibition '404: Perfection Not Found' will be held on the 1st floor of the Creative Learning Building from November 5th to 14th. This exhibition showcases 'Scenes of Imperfection' captured by KAIST members through the PhotoVoice program and the AI times Failure Snapshot Challenge. It is divided into three sections: ▲ Brain that Mimics Perfection: Failure of AI ▲ Incomplete Connection: Portrait of the Digital Generation ▲ Aesthetics of Imperfection: Warmth of Humanity, providing a space for introspection that illuminates human responsibility and potential through technological failure. The 'Show Off Your Failed Project Contest,' which has garnered great response from KAIST students every year, will be expanded to include general public participation on the 5th at the John Hanner Hall in the Academic and Cultural Complex. Co-planned by the KAIST Center for Ambitious Failure and the student club ICISTS, participants will decorate their own booths with photos and videos to share their failures and the process of overcoming them. Awards such as ▲ Best (Most Votes) ▲ Shining Debris Award (Highly Relatable Failure Story) ▲ Flower of Ash Award (Overcoming Story) ▲ Aesthetics of Failure Award (Creative Expression) ▲ Beautiful Afterimage Award (Sincere Lingering Impression) will be selected through audience voting.
< 2025 Show Off Your Failed Project Contest Poster >
Sungho Jo, KAIST Center for Ambitious Failure (Professor, School of Computing), stated, "As AI technology rapidly evolves and changes the order of the world, humans need to look back at themselves beyond that speed. I hope this Failure Conference will be an opportunity to rediscover the meaning of humaneness amid technological innovation and to imagine a better future." Kwang Hyung Lee, President of KAIST, said, "Failure is another name for challenge, and a seed of innovation. KAIST will lead the AI era and human-centered technological development through a creative spirit of challenge that is not afraid of failure."
All programs for the 2025 Failure Conference are open to anyone interested, and detailed schedules and content can be checked on the webstie of KAIST Center for Ambitious Failure (caf.kaist.ac.kr).
2025.10.29 View 2077 -
KAIST Fabricates Green Hydrogen Cells in Just 10 Minutes Like Using a Microwave
<(From Left) Ph.D candidate Hyeongmin Yu, Ph.D candidate Seungsoo Jang, Ph.D candidate Donghun Lee, Ph.D candidate Gayoung Yoon, Professor Kang Taek Lee>
Solid oxide electrolysis cells (SOECs), a key technology for producing green hydrogen without carbon emissions, require a high-temperature “sintering” process to harden ceramic powders. Researchers at KAIST have successfully shortened this process from six hours to just ten minutes, while also reducing the required temperature from 1,400°C to 1,200°C. This innovation dramatically cuts both energy consumption and production time, marking a major step forward for the green hydrogen era.
KAIST (President Kwang Hyung Lee) announced on the 25th of October that a research team led by Professor Kang Taek Lee from the Department of Mechanical Engineering has developed an ultra-fast manufacturing method capable of producing high-performance green hydrogen electrolysis cells in only ten minutes.
The core of this technology lies in sintering—a process in which ceramic powders are baked at high temperatures to form a dense, tightly bonded structure. Proper sintering is critical: it ensures that gases do not leak (as hydrogen and oxygen mixing could cause explosions), oxygen ions move efficiently, and the electrodes adhere firmly to the electrolyte to allow smooth current flow. In short, the precision of the sintering process directly determines the cell’s performance and lifetime.
To address these challenges, the KAIST team applied a “volumetric heating” technique that uses microwaves to heat the material uniformly from the inside out. This approach shortened the sintering process by more than thirtyfold compared to conventional methods. Whereas traditional sintering requires prolonged heating above 1,400°C, the new process uses microwaves to heat the material internally and evenly, achieving stable electrolyte formation at just 1,200°C within 10 minutes.
In conventional fabrication, the essential materials—ceria (CeO₂) and zirconia (ZrO₂)—tend to intermix at excessively high temperatures, degrading material quality. KAIST’s new method allows these two materials to bond firmly at the right temperature without mixing, producing a dense, defect-free bilayer electrolyte.
The total “processing time” includes heating, holding, and cooling. The conventional sintering process required about 36.5 hours, whereas KAIST’s microwave-based technique completes the entire cycle in only 70 minutes—over 30 times faster.
<Figure 1. (a) Schematic illustration of the microwave-based ultrafast sintering process and the conventional sintering process (b) Cross-sectional SEM images of the bilayer ceramic electrolyte according to the sintering process>
The resulting electrochemical cells demonstrated remarkable performance: they produced 23.7 mL of hydrogen per minute at 750°C, maintained stable operation for over 250 hours, and exhibited excellent durability. Using 3D digital twin simulations, the team further revealed that ultra-fast microwave heating improves electrolyte density and suppresses abnormal grain growth of nickel oxide (NiO) particles within the fuel electrode, thereby enhancing hydrogen production efficiency.
<Figure 2. 3D reconstruction, contact area, and electrochemically active site images of the solid oxide electrochemical cell according to the sintering process>
Professor Kang Taek Lee stated, “This research introduces a new manufacturing paradigm that enables the rapid and efficient production of high-performance solid oxide electrolysis cells.” He added, “Compared to conventional processes, our approach drastically reduces both energy consumption and production time, offering strong potential for commercialization.”
This study was co-first-authored by Hyeongmin Yu and Seungsoo Jang, both Ph.D. candidates in Mechanical Engineering at KAIST, with Donghun Lee and Gayoung Youn as collaborators. The research was published online on October 2 in Advanced Materials (Impact Factor: 26.8) and was selected as the Inside Front Cover feature paper for its scientific significance.
※ Paper title: “Ultra-Fast Microwave-Assisted Volumetric Heating Engineered Defect-Free Ceria/Zirconia Bilayer Electrolytes for Solid Oxide Electrochemical Cells”, DOI: 10.1002/adma.202500183)
This work was supported by the Ministry of Science and ICT through the H2 Next Round Program, the Mid-Career Researcher Program, and the Global Research Laboratory (GRL) Program.
2025.10.29 View 2671 -
AI Finds Urban Commercial Districts Resilient to Climate Risk
< (From left) Integrated M.S.-Ph.D candidate Keonhee Jang, Postdoctoral Researcher Namwoo Kim, Professor Yoonjin Yoon, Researcher Seok-woo Yoon, Postdoctoral Researcher Young-jun Park, (Top) M.S candidate Juneyoung Ro >
KAIST announced on October 29th that its Urban AI Research Institute (Director, Distinguished Professor Yoonjin Yoon of Civil and Environmental Engineering conducted joint research in the field of 'Urban AI' with MIT's Senseable City Lab (Director, Professor Carlo Ratti) and disclosed the results at the 'Smart Life Week 2025' exhibition held at COEX, Seoul, in late September.
KAIST and MIT have been pursuing the 'Urban AI Joint Research Program' to interpret major urban problems using artificial intelligence. At this exhibition, the research results were presented in a form that citizens could directly experience, focusing on three themes: ▲Urban Climate Change, ▲Green Environment, and ▲Data Inclusivity.
Through this collaboration, the two institutions demonstrated that AI technology can expand beyond a tool for calculating urban problems to a new intelligence that promotes social understanding and empathy. They carried out three projects: ▲Urban Heat and Sales, ▲Nature That Heals, Seoul, and ▲Data Sonification.
The first project, 'Urban Heat and Sales,' is a study that analyzes the impact of climate change on urban commercial areas and the small business ecosystem using AI. An AI model was trained on over 300 million data points, including sales and weather for 96 business categories across 426 administrative dong (neighborhoods) in Seoul, to quantify the effect of climatic factors, such as temperature and humidity, on sales by industry type.
The results were visualized into 40,896 'Urban Heat Resilience' indicators, which score how well each region and business category can adapt to and recover from climate change. This allows the level of commercial area resilience to climate risk to be grasped at a glance, showing which areas are strong against temperature risks.
According to the study, for the convenience store sector, 64.7% of the total 426 dong were analyzed as 'climate-neutral areas,' which are relatively stable against climate change, while the remaining 35.3% belong to 'climate-sensitive areas,' which are significantly affected by climate change. This suggests that the operating environment for convenience stores varies significantly by region in terms of climate impact, and the data can be utilized for future location strategy planning from an urban resilience perspective.
< '3D Mesh Structure' that visually represents sales data for 426 regions in Seoul. The height and color of each region indicate the scale of sales. The left shows the distribution of sales in Seoul under actual temperature conditions, and the right shows the sales change predicted by AI when the temperature rises by 5 degrees. >
Visitors to the exhibition could select a region and business type on a real Seoul map and experience a system where the AI predicted sales changes in real-time based on future temperature rise scenarios.
This prediction model is a proprietary technology developed by KAIST, and plans are underway to expand cooperation with other major global cities, such as Boston and London. This research is expected to propose a new direction for establishing opening strategies for small business owners and developing urban climate risk response policies.
< Numerous visitors listening to explanations and experiencing the KAIST-MIT exhibition space >
The second project, 'Nature That Heals, Seoul,' is an extension of MIT's global project 'Feeling Nature' to Seoul. It combines urban environment data (Street View, maps, satellite images, etc.) with citizen survey data to train an AI to estimate the 'psychological green'—the actual psychological experience of green spaces felt by Seoul citizens.
This approach goes beyond simply calculating the area of trees or parks, offering new urban design directions that reflect citizens' emotional resilience and well-being. This research is expected to provide scientific evidence for future Seoul green space policies and locally tailored urban design.
The final project, 'Data Sonification,' is the world's first AI technology that translates over 300 million data points into sounds, like music, to be 'heard.' The AI uses data such as temperature, humidity, and sales to represent information through sound: for example, the pitch rises when the temperature goes up, and the sound lowers when sales decrease. This provides a new sensory experience of 'listening' to urban data through sound instead of sight.
This technology is a prime example of 'Barrier-Free AI' (AI for All), an inclusive AI technology that helps people with visual impairments or children—who may have difficulty accessing visual information—to intuitively understand data.
< A visitor experiencing Data Sonification, the world's first AI technology that converts data into sound >
Man-ki Kim, Chairman of the Seoul AI Hub (Seoul AI Foundation), which sponsored this research, stated, "We have achieved meaningful results by analyzing the urban environment and citizens' lives with artificial intelligence through collaboration with world-class research institutions like KAIST and MIT," adding, "This research has laid the groundwork for understanding urban change from the perspective of citizens and connecting it to policy and daily life."
Director Yoonjin Yoon remarked, "This exhibition demonstrated that artificial intelligence can evolve beyond a technology that merely calculates the city to an intelligence that understands and empathizes with people and the city," and concluded, "We will create data and experiences together with citizens, and collaborate with various cities worldwide to open a more inclusive and sustainable urban future."
This achievement is a global collaborative research project in the AI sector involving the KAIST Urban AI Research Institute and the MIT Senseable City Lab, and was conducted with sponsorship from the Seoul AI Hub.
※Research Results Images/Videos: https://05970c0c.slw-6vy.pages.dev/
2025.10.29 View 3016 -
“AI,” the New Language of Materials Science and Engineering Spoken at KAIST
<(From Left) M.S candidate Chaeyul Kang, Professor Seumgbum Hong, Ph. D candidate Benediktus Madika, Ph.D candidate Batzorig Buyantogtokh, Ph.D candiate Aditi Saha, >
Collaborating authors include Professor Joshua Agar (Drexel University), Professors Chris Wolverton and Peter Voorhees (Northwestern University), Professor Peter Littlewood (University of St Andrews), and Professor Sergei Kalinin (University of Tennessee).
Paper Title: Artificial Intelligence for Materials Discovery, Development, and Optimization
The era has arrived in which artificial intelligence (AI) autonomously imagines and predicts the structures and properties of new materials. Today, AI functions as a researcher’s “second brain,” actively participating in every stage of research, from idea generation to experimental validation.
KAIST (President Kwang Hyung Lee) announced on October 26 that a comprehensive review paper analyzing the impact of AI, Machine Learning (ML), and Deep Learning (DL) technologies across materials science and engineering has been published in ACS Nano (Impact Factor = 18.7). The paper was co-authored by Professor Seungbum Hong and his team from the Department of Materials Science and Engineering at KAIST, in collaboration with researchers from Drexel University, Northwestern University, the University of St Andrews, and the University of Tennessee in the United States.
The research team proposed a full-cycle utilization strategy for materials innovation through an AI-based catalyst search platform, which embodies the concept of a Self-Driving Lab—a system in which robots autonomously perform materials synthesis and optimization experiments.
Professor Hong’s team categorized materials research into three major stages—Discovery, Development, and Optimization—and detailed the distinctive role of AI in each phase:
In the Discovery Stage, AI designs new structures, predicts properties, and rapidly identifies the most promising materials among vast candidate pools.
In the Development Stage, AI analyzes experimental data and autonomously adjusts experimental processes through Self-Driving Lab systems, significantly shortening research timelines.
In the Optimization Stage, AI employs Reinforcement Learning, which identifies optimal conditions through Bayesian Optimization, which efficiently finds superior results with minimal experimentation, to fine-tune designs and process conditions for maximum performance.
In essence, AI serves as a “smart assistant” that narrows down the most promising materials, reduces experimental trial and error, and autonomously optimizes experimental conditions to achieve the best-performing outcomes.
The paper further highlights how cutting-edge technologies such as Generative AI, Graph Neural Networks (GNNs), and Transformer models are transforming AI from a computational tool into a “thinking researcher.” Nonetheless, the team cautions that AI’s predictions are not error-proof and that key challenges persist, such as imbalanced data quality, limited interpretability of AI predictions, and integration of heterogeneous datasets.
To address these limitations, the authors emphasize the importance of developing AI systems capable of autonomously understanding physical principles and ensuring transparent, verifiable decision-making processes for researchers.
The review also explores the concept of the Self-Driving Lab, where AI autonomously designs experimental plans, analyzes results, and determines the next experimental steps—without manual operation by researchers. The AI-Based Catalyst Search Platform exemplifies this concept, enabling robots to automatically design, execute, and optimize catalyst synthesis experiments.
In particular, the study presents cases in which AI-driven experimentation has dramatically accelerated catalyst development, suggesting that similar approaches could revolutionize research in battery and energy materials.
<AI Driving Innovation Across the Entire Cycle of New Material Discovery, Development, and Optimization>
“This review demonstrates that artificial intelligence is emerging as the new language of materials science and engineering, transcending its role as a mere tool,” said Professor Seungbum Hong. “The roadmap presented by the KAIST team will serve as a valuable guide for researchers in Korea’s national core industries including batteries, semiconductors, and energy materials.”
Benediktus Madika (Ph.D. candidate), Aditi Saha (Ph.D. candidate), Chaeyul Kang (M.S. candidate), and Batzorig Buyantogtokh (Ph.D. candidate) from KAIST’s Department of Materials Science and Engineering contributed as co-first authors.
Collaborating authors include Professor Joshua Agar (Drexel University), Professors Chris Wolverton and Peter Voorhees (Northwestern University), Professor Peter Littlewood (University of St Andrews), and Professor Sergei Kalinin (University of Tennessee).
Paper Title: Artificial Intelligence for Materials Discovery, Development, and Optimization
DOI: 10.1021/acsnano.5c04200
This work was supported by the National Research Foundation of Korea (NRF) with funding from the Ministry of Science and ICT (RS-2023-00247245).
2025.10.27 View 3010 -
Korea's AI Research Hub,'Global AI Frontier Symposium 2025
< Poster for the Global AI Frontier Symposium 2025 (Including Schedule) >
KAIST announced that the National AI Research Lab (NAIRL) and the Global AI Frontier Lab co-hosted the 'Global AI Frontier Symposium 2025' at Seoul Dragon City on the 27th.
The symposium was hosted by the Ministry of Science and ICT and the Institute for Information & Communications Technology Planning and Evaluation (IITP), and was attended by over 500 experts from industry, academia, and research institutions, along with government officials, from both home and abroad.
Key domestic and international figures attended the event, including Deputy Prime Minister and Minister of Science and ICT, Kyungshoon Bae, and President of IITP, Jinbae Hong.
In particular, Turing Award winner and NYU Professor Yann LeCun, and Stanford University Professor and NVIDIA Senior Director Yejin Choi delivered keynote speeches on the future of AI governance and generative AI.
Researchers from five countries, including Korea, the US, Japan, France, and the UAE, participated in the symposium, sharing their international joint research achievements and presenting a blueprint for global AI collaboration.
The National AI Research Lab (Director Kee-Eung Kim) and the Global AI Frontier Lab (Co-Directors Yann LeCun and KyungHyun Cho) are leading domestic AI research as a global R&D hub, and at this event, they unveiled their major research achievements over the past year.
Deputy Prime Minister and Minister of Science and ICT, Kyungshoon Bae, urged in his opening address, "I request that the National AI Research Lab and the Global AI Frontier Lab take the lead in international cooperation and the expansion of the research ecosystem for the Republic of Korea to leap beyond an AI technology powerhouse to become a global leader."
The symposium was divided into two sessions.
Session 1, 'The Future of Next-Generation AI and Fundamental Research,' was chaired by Professor Eunho Yang of KAIST, with presentations on research topics including: ▲Data-Driven Reliability Framework (Ichiro Takeuchi, RIKEN), ▲AI-Based Drug Discovery (Tae-Eui Kim, Korea University), ▲Analysis of Training-Free VLM (Sungjae Hwang, Yonsei University), ▲Scientific Foundation Models and Semiconductor Applications (No-Seong Park, KAIST), ▲Overcoming the Compression Scaling Law (Jaeho Lee, POSTECH), and ▲Incremental Learning in Vision (Kartik Alahari, INRIA).
Session 2, 'Physical AI for Real-World Autonomy,' held simultaneously, was chaired by Professor Minsoo Cho of POSTECH, with various presentations including: ▲Non-Contrastive Self-Supervised Learning (Jean Pons, ENS-PSL), ▲Fairness-Based Offline Multi-Objective Reinforcement Learning (Jongmin Lee, Yonsei University), ▲Next-Generation 3D Vision Models (Hyunjeong Shim, KAIST), ▲Inference-Oriented Research on VLA Models (Sungjun Choi, Korea University), ▲Robustness of Vision Foundation Models Based on GaRA (Suha Kwak, POSTECH), and ▲Embodied Agents (Ivan Laptev, MBZUAI).
Experts from the industry, including Naver Cloud and POSCO Holdings, participated in each session to hold in-depth discussions on industrial applicability and industry-academia-research cooperation models.
< Photo of Professor Kee-Eung Kim of KAIST Kim Jae-chul AI Graduate School debating >
Director of the National AI Research Lab, Kee-Eung Kim, stated his aspirations, "This symposium is a significant platform to announce the research achievements of the past year to the world and expand the foundation for international cooperation. We will continue to work with industry, academia, and research institutions to create a virtuous cycle of global AI innovation."
President Kwanghyung Lee said, "The National AI Research Lab is the center of domestic AI research and a bridge connecting us to the world. KAIST will continue to lead the sustainable future of humanity with AI technology, crossing the boundaries of academia, industry, and nations."
The National AI Research Lab is the largest domestic AI research consortium of industry, academia, research, and government, established in October 2024 with the support of the Ministry of Science and ICT and IITP, led by KAIST.
It involves 45 professors and over 150 student researchers from four universities—KAIST, Korea University, Yonsei University, and POSTECH—and is accelerating the establishment of a global AI ecosystem in cooperation with 12 domestic companies, 14 overseas joint research institutions, Seoul Metropolitan Government, and Seocho-gu district. Furthermore, more than 20 foreign researchers reside for two weeks or more to conduct joint research with students, and world-renowned scholars are invited monthly to share the latest AI research achievements.
The National AI Research Lab has signed an MOU with the RIKEN in Japan and discussed expanding cooperation with AI hub institutions in Singapore last August, strengthening its role as a bridgehead for global AI governance cooperation.
< (From left) NYU Professor Yann LeCun, Stanford University Professor Yejin Choi, Global AI Frontier Lab Co-Director KyungHyun Cho, KAIST Professor Kee-Eung Kim, Deputy Prime Minister and Minister of Science and ICT Kyungshoon Bae >
The active research and dynamic ecosystem expansion efforts of the National AI Research Lab are expected to become the groundwork for the Republic of Korea to establish Sovereign AI and secure a leading position in the global AI governance discussion.
2025.10.27 View 4232 -
Robot-Operated Space Station Construction Goal... 'In-space Servicing and Manufacturing Research Center' Launched
<Plaque Handover Ceremony. (From left) Jae-Hung Han, Director of the Space Research Institute, Ju-won Kang, Head of Engineering Group at the National Research Foundation of Korea Basic Research Headquarters>
KAIST's Space Research Institute announced on the 24th of October that it officially launched the 'Innovative Research Center for the Development of Core Technologies in In-space Servicing and Manufacturing (ISMRC)' at the KAIST Academic Cultural Center on Friday, October 24. About 150 officials from major organizations, including the Korea Aerospace Administration, the National Research Foundation of Korea, and Daejeon Metropolitan City, as well as domestic and foreign space experts, attended the opening ceremony to discuss future cooperation measures. The 'KAIST In-space Servicing and Manufacturing Research Center (ISMRC)' is a large-scale research hub selected for the Ministry of Science and ICT's 2025 Basic Research Project, with a total of 71.2 billion KRW long-term project planned over the next 10 years, including 50 billion KRW in national funding. Daejeon City will also provide a total of 3.6 billion KRW, with 400 million KRW annually starting from 2026. The research goals are to secure core technologies for next-generation space exploration, including: ▲ Construction of Unmanned Space Stations, ▲ Robotics-based In-space Manufacturing, and ▲ Resource Recovery Technology. A team of 14 KAIST professors, led by Director Jae-Hung Han, will spearhead the research, with major domestic and foreign space companies and research institutions participating in joint research. As the 'New Space' era fully commences globally, the In-space Servicing and Manufacturing industry is projected to grow to tens of trillions of Korean won by 2030, driven by the reduction of launch costs and the expansion of private sector participation. This field is evaluated as a core area that will fundamentally change the way humanity engages in space activities, including extending satellite lifespan, on-orbit maintenance and operation, and securing and manufacturing resources in space. Meanwhile, an international symposium was held for two days on October 23-24 at the KAIST Academic Cultural Center and KI Building, coinciding with the opening ceremony.
<Director Jae-Hung Han of the Space Research Institute presenting>
The symposium was composed of a total of six sessions, including: ▲ Exchange Meeting on Additive Manufacturing Tecnology for Aerospace, ▲ International Workshop on Aerospace Composites, ▲ Workshop on Swarm Satellite Development, and ▲ Workshop on In-space Servicing and Manufacturing Robotics. Major domestic and foreign institutions and experts, including the Korea Aerospace Research Institute, Japan Advanced Institute of Science and Technology, and California Institute of Technology (Caltech), attended to discuss the future direction of next-generation space technology development and international cooperation measures. Cheol-woong Son, Director-General of Future Strategy Industry Office at Daejeon City, said, "We will develop the Innovative Research Center into a Daejeon-type space industry innovation platform with KAIST," and "Daejeon City will concentrate its capabilities to help local businesses grow and establish Daejeon as the central city for the Republic of Korea's space industry." Jae-Hung Han, Director of the KAIST Space Research Institute, said, "We will lead the core technologies for in-space servicing and manufacturing through cooperation between industry, academia, research institutes, and government, and contribute to the establishment of a private sector-focused industrial ecosystem," adding, "KAIST will grow into a comprehensive research hub that encompasses R&D, talent nurturing, and technology commercialization."
<Group Photo of Participants at the Opening Ceremony of the In-space Servicing and Manufacturing Research Center>
Kwang Hyung Lee, President of KAIST, said, "The field of in-space servicing and manufacturing is a core area that will change the paradigm of the future space industry," and "KAIST will lead the Republic of Korea to become the center for opening a new era of the space industry through innovative technology development and global cooperation." KAIST plans to perform the role of breaking down the boundaries between academia and industry, focusing on these technologies, and laying the foundation for next-generation space activities.
2025.10.24 View 4030