A KAIST team introduced Agile 3D Sketching with Air Scaffolding, combining hand motions and pen-based sketching to create 3D shapes. The technique allows designers to reduce time while enhancing accuracy in defining proportion and scale of products.
A KAIST team identified that the formation of metal-oxide interfaces has a synergistic catalytic effect on bimetal catalysts. This is achieved through in situ imaging, revealing that interfacial platinum-nickel oxide nanostructures increase catalytic activity while providing thermodynamically efficient reaction pathways.
The KAIST research group created photonic capsules that can be injected into any target volume, exhibiting omnidirectional laser emissions. The capsules contain cholesteric liquid crystals (CLCs) with helical nanostructures, which reflect circularly-polarized light and enable wavelength-tunable lasing.
Research identifies brain-only MTOR mutations as a key factor in causing cortical malformations, intellectual disability, and developmental delay in children. The study found that disrupted ciliary formation leads to cortical dyslamination, providing new insights into the molecular mechanisms of FMCDs.
A KAIST research team developed a low-cost production technology for thin-film blue flexible vertical micro LEDs, achieving three times higher optical power density and longer device lifetime than lateral micro LEDs. This innovation enables the widespread adoption of micro LEDs in mobile and TV displays.
Professor Lee recognized for his work on metabolic engineering to develop sustainable chemical materials, with notable research in drug-drug and food interactions using AI and novel enzymes. He is the second Asian recipient of the prestigious award, honoring Professor Peter V. Danckwerts.
A KAIST research team has developed a novel perovskite material, Cs2Au2I6, which exhibits high efficiency and stability compared to conventional organic-inorganic hybrid perovskites. The new material is expected to overcome the limitations of previous perovskite materials, including toxicity issues.
A recombinant E. coli strain has been developed to biosynthesize 60 different nanomaterials covering 35 elements on the periodic table. The team successfully synthesized 33 novel nanomaterials for the first time, advancing the design of nanomaterials through biosynthesis.
A new study reveals that similar-status F1 drivers are more prone to collide, especially when they are age-similar, performing well, and feeling safe. The research team found structural equivalence triggers antagonism among interactants, leading to increased conflict.
Researchers at KAIST have identified a neural circuit in the hypothalamus governing obsessive behavior towards non-food objects in mice. The MPA-PAG circuit modulates object craving and facilitates hunting behavior, allowing for controlled mammalian behavior with optogenetics.
A Korean research team developed a deep learning-based framework, DeepDDI, to predict 86 types of drug-drug and drug-food interactions. The model accurately predicts interactions for drug-pair constituent pairs with a mean accuracy of 92.4%.
A KAIST research team developed a new anode material using copper sulfide, exhibiting 1.5 times better cyclability and 40% reduced cost compared to existing materials. The discovery may contribute to the commercialization of sodium ion batteries and reduce battery costs in consumer electronics.
Researchers at KAIST have developed a technology to increase the stability of amine-containing adsorbents by fifty times. This advancement brings solid carbon dioxide adsorbents closer to commercialization and paves the way for efficient capture of greenhouse gases.
Researchers at KAIST have identified flammable ice formed in oceans through clay minerals in sedimentary deposits. They proposed a new principle for gas hydrate formation and found that electric fields can promote hydrate nucleation.
A KAIST team created a technology to print heat patterns on a micron scale for controlling biological activities remotely. They achieved this by integrating precision inkjet printing with bio-functional thermo-plasmonic nanoparticles.
Researchers at KAIST identified the basic principle of electric wind in plasma, a phenomenon that can create air movement without mechanical movement. The team found that space charge drift following streamer propagation is the main cause of electric wind, with electrons playing a key role in certain plasmas.
Researchers at KAIST developed a hybrid energy storage device that can be charged in less than half a minute using aqueous electrolytes and graphene. The device facilitates rapid charging and high energy density, making it suitable for portable electronic devices.
Researchers at KAIST have identified a novel molecular mechanism for polyethylene terephthalate (PET) degradation, revealing superior degradability of PET. A new variant with enhanced PET-degrading activity was also developed using structural-based protein engineering.
The KAIST research team has developed flexible vertical micro LEDs (f-VLEDs) with high optical power density, improving thermal reliability and lifetime. These f-VLEDs can be used for optogenetics to control animal behavior and are suitable for biomedical applications.
KAIST researchers designed metallic nanostructure substrates to enhance Quantum Dot LED efficiency and reduce production costs. The technology uses silver and aluminum nanoparticles to increase fluorescent properties of QDs, resulting in brighter displays and lower unit prices.
A recent study by KAIST medical scientists reveals that regulatory T cells undergo inflammatory changes in patients with viral hepatitis, leading to the secretion of inflammatory cytokines called TNF. This discovery could pave the way for the development of new clinical treatments for severe viral hepatitis.
KAIST researchers have developed a new technique to improve the chemical stability of electrode materials in solid oxide fuel cells. By employing a small amount of metals, they can extend the lifespan of these energy technology devices. This innovation has the potential to improve the long-term performance and durability of fuel cells.
Researchers at KAIST developed fiber OLEDs that surpass existing plansar substrates in terms of luminance and current efficiency values. The new technology also allows for the fabrication of OLEDs on ultra-thin fibers, with diameters as low as 90?, enabling the creation of wearable displays.
A KAIST research team used electron microscopy and scanning tunneling microscope to study the connection between magnetism and superconductivity. They found that low-energy spin fluctuations cannot mediate pairing between electrons, a critical step for superconductivity. This breakthrough enables the development of novel antiferromagne...
Researchers developed a novel strategy to produce aromatic polyesters from Escherichia coli strains using microbial fermentation and synthetic biology. The engineered E. coli strain can produce various high-valued aromatic polyesters from renewable biomass, offering a sustainable alternative for the bio-plastic industry.
A KAIST research team developed technology to identify the optimal drug target for cancer cells based on molecular network dynamics. This approach uses systems biology to analyze genetic mutations and predict drug response, which could lead to more effective treatment strategies.
A KAIST research team developed a new technology to detect RNase H activity using catalytic hairpin assembly, overcoming limitations of existing methods. The technology amplifies detection signals, enabling more sensitive assays and potential screening for inhibitors.
A KAIST research team has identified a mutant gene network in colon cancer, which could lead to the development of effective anti-cancer drugs. The study used large-scale genomic data to construct a mathematical model on the cooperative effects of multiple genetic mutations found in gene interaction networks.
Researchers at KAIST developed ultra-flexible organic flash memory that can be applied to non-conventional substrates like plastics and papers. The memory technology exhibits a significantly-long projected retention rate with programming voltages on par with industrial standards.
A Korean research team created a comprehensive computational model of human metabolism, enabling accurate prediction of personal metabolic features. The model incorporates alternative splicing information and was validated with over 11,000 Gene-Transcript-Protein-Reaction Associations.
A KAIST-UC Irvine team developed an ultra-fast hydrogen gas sensor using a palladium nanowire array with a metal-organic framework, detecting hydrogen levels under 1% in under 7 seconds. The sensor also detects hundreds of parts per million levels within 60 seconds at room temperature.
A KAIST research team has identified a new mechanism that causes the hallmark symptoms of Parkinson's disease, including tremors. The discovery presents a new perspective on three decades of conventional wisdom and opens up new avenues for alleviating motor problems.
Researchers developed combined photoacoustic imaging and photothermal therapy using Bilirubin (BR) nanoparticles, showing high biocompatibility and outstanding therapeutic effects. The technology has the potential to improve cancer diagnosis and treatment outcomes.
Researchers at KAIST have developed a novel fabrication technology to produce superomniphobic surfaces that can repel liquids, including water and oil. The new approach uses localized photofluidization of azobenzene molecule-containing polymers, resulting in a superior superomniphobic property.
Researchers at KAIST have developed a novel method to improve medication treatment for liver cancer, identifying the resistance mechanism of Sorafenib and discovering a new approach to block it. The study suggests the possibility of developing a new method to overcome drug resistance using network analysis.
Researchers at KAIST have created highly flexible wearable displays by integrating OLED into fabrics, enabling commercialization of clothing-shaped displays. The team's breakthrough technology reduces mechanical stress on OLEDs, resulting in high luminance and efficiency.
A research team led by Professor Hyoungsoo Kim quantified the Marangoni effect in miscible liquids, revealing a new mechanism for driving transport without surface contamination. The findings have potential applications in removing impurities from surfaces and developing alternative materials to surfactants.
A new nanocoating technique developed by KAIST researchers uses plant-derived polyphenol to extend the shelf life of produce. The sprayable nanocoating process has been shown to significantly prolong postharvest shelf life, preserving freshness beyond 28 days and 58 hours for certain fruits.
A KAIST research team developed molecular pulley binders for high-capacity silicon anodes in lithium ion batteries, improving charge-discharge cycles. The innovative binding system, inspired by the 'mechanical bond' concept, enhances electrode stability and capacity retention.
A research team at KAIST developed diagnostic sensors using protein-encapsulated nanocatalysts to analyze human exhaled breath and diagnose diseases. The sensors achieved high sensitivity and selectivity, detecting biomarker gases related to diseases with improved performance compared to conventional platinum-based catalysts.
Researchers studied the structure of MDGA1/Neuroligin-2 complex, revealing how it negatively modulates synapse development. The study provides key findings on the mechanism of action of MDGAs in regulating excitatory/inhibitory synapses.
A KAIST research team identified a software glitch in smartphones' screen rotation-tracking algorithms as the cause of frequent document photo orientation errors. Their novel technique can correct phone orientation in document-capturing tasks at 93% accuracy and seamlessly work with existing methods.
Researchers have discovered that mutations in the RB1 and TP53 genes play a key role in treatment-resistant cancer cell-type transformation in lung cancers. Lung adenocarcinomas with complete inactivation of both genes tend to have a higher risk of transforming into small cell lung cancer during EGFR inhibitor therapy.
Researchers developed a biocatalytic system to produce terephthalic acid from p-xylene using metabolically engineered E. coli, offering a greener alternative to traditional chemical methods. The resulting yield of 97 mol% demonstrates the feasibility of this bio-based technology for large-scale production.
KAIST researchers directly observed the phase transition of topological defects formed by liquid crystal materials for the first time. The defect structures have radial, circular, or spiral shapes centering on a singularity and can be easily observed with an optical microscope.
Professor Sang Yup Lee was elected as a foreign associate to the US National Academy of Sciences (NAS) and previously to the US National Academy of Engineering (NAE). He is the first Korean to be elected to both prestigious academies, recognized for his leadership in microbial biotechnology and metabolic engineering.
Researchers develop a new optical manipulation technique that can control the 3D motion of complex-shaped objects, including living cells. The technique uses 3D holographic microscopy to measure object shapes and calculates light shapes for stable trapping.
Researchers at KAIST successfully synthesized the natural product (-)-flueggenine C via an accelerated intermolecular Rauhut-Currier reaction. The conventional RC reaction is non-selective and high-temperature, but the team modified it to use a base at ambient temperature.
A KAIST research team developed a hybrid animal-robot interaction system that attaches to a turtle and induces its object-tracking behavior through training sessions. The parasitic robot successfully controls the direction of movement in a water tank, offering an alternative solution to conventional mobile robot limitations.
The KAIST team discovered a new molecular signal triggered by IPMK enzyme in mediating innate immune response to sepsis. This finding suggests a potential therapeutic target for treating serious medical conditions like neuroinflammation and polymicrobial sepsis.