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Research Highlight Top Story
Human muscle-inspired Hercules artificial muscle fiber
Prof. Sang Ouk Kim’s group has developed robust and durable actuator fibers by incorporating 2D graphene fillers in aligned liquid crystal elastomer matrix; these fibers surpass the strength and toughness of human muscle. The reversible percolation of the graphene filler network within the composite structure upon contraction/recovery actuation offers interesting electrical switching behavior, as well as work capacity and power density far beyond those of human or mammalian muscles....read more
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Research Highlight Top Story
Selective and Efficient Photocatalytic Conversion of CO2 with Ultrathin Nanosheets
Prof. Doh Chang Lee’s group has developed a novel photocatalyst based on ultrathin CdS nanosheets for selective and efficient light-driven conversion of CO2 into CO. Surface engineering at atomic precision on CdS nanosheets enabled spatial separation of the reductive active sites and the oxidative active sites to designated facets. The facet-resolved redox-active sites favored efficient charge separation in the CdS nanosheets under light, leading to two-orders-of-magnitude increase in conversion rate of CO2-to-CO. ...read more
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Research Highlight Top Story
Computational design of a neutralizing antibody against all SARS-CoV-2 variants
Prof. Oh’s group has developed a neutralizing antibody against SARS-CoV-2 by computational method. The antibody binds to all SARS-CoV-2 variants, including Omicron, with pico- to femto-molar binding affinity....read more
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Research Highlight Top Story
High-speed autonomous driving is a game changer for future long distance travel.
Researchers at KI Robotics developed in-house autonomous driving solutions to participate in the world’s first high-speed autonomous racing competition at the prestigious Indianapolis Motor Speedway on October 23. ...read more
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Research Highlight Top Story
Fiber Sorbents for Energy-Efficient CO2 Capture
Prof. Koh’s group conceived a feasible route for developing a scalable platform for CO2 capture (including direct air capture) using metal-organic frameworks. MOF-based fiber sorbents show high CO2 uptake and low pressure drop for long-term cyclic operation in direct air capture mode....read more
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Research Highlight Top Story
Unique metal-polymer interaction enables the design of chemoselective and long-lived hydrogenation catalysts
Dynamic coverage of metal catalysts with polymer chains can control the transport/reaction of molecules, remarkably increasing catalytic selectivity and lifetime....read more
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Research Highlight Top Story
New Catalyst Recycles Greenhouse Gases into Fuel and Hydrogen Gas
Prof. Yavuz’s group has developed a new catalyst for dry reforming of methane. The catalyst exhibits outstanding stability and activity without deactivation, attributed to the migration of Ni-Mo nanocrystals to the edge of single crystal MgO....read more
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Research Highlight Top Story
Development of VR Sickness Assessment Deep Network Considering Exceptional Motion for VR Video
Viewing safety is one of the main issues in viewing virtual reality (VR) content. In particular, VR sickness can occur when watching immersive VR content. To deal with viewing safety for VR content, objective assessment of VR sickness is of great importance. In this work, based on a deep generative model, we propose a novel objective VR sickness assessment (VRSA) network to automatically predict VR sickness. The proposed method takes into account motion patterns of VR videos in which exceptional motion is a critical factor inducing excessive VR sickness in human motion perception. The proposed VRSA network consists of two parts, the VR video generator and VR sickness score predictor. For the evaluation of VRSA performance, we performed comprehensive experiments with 360° videos (stimuli), corresponding physiological signals, and subjective questionnaires. We demonstrated that the proposed VRSA achieved a high correlation with human perceptual score for VR sickness....read more
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Introduction to KI Top Story
FIRIC Pioneers New Approaches to Global Governance of Fourth Industrial Revolution Technologies
KAIST Fourth Industrial Revolution Intelligence Center (FIRIC) was established in July 2017 with the aim of leading global research and policy collaboration on technological and socioeconomic impacts of the Fourth Industrial Revolution....read more
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Introduction to KI Top Story
Inauguration of KI for Artificial Intelligence
The KI for Artificial Intelligence (KIAI) started as the 6th KI on May 16th, 2017.
Artificial intelligence is regarded as the most-important enabling technology for the 4th Industrial Revolution. The establishment of KIAI, with 66 faculty members from 18 Departments/Schools will help KAIST to continue its leading role in this important multi-disciplinary technology....read more
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