A new computational approach calculates the quasi-Fermi levels in molecular junctions, offering a better understanding of semiconductor devices at the nano-scale. This breakthrough could enable more accurate descriptions of underlying physics and improve the efficiency of nano-scale transistors.
Researchers developed simple molecular reagents that can simultaneously target and modulate various pathogenic factors in Alzheimer's disease. The reagents displayed redox-dependent reactivities against free radicals, metal-free and metal-bound amyloid-beta, and led to chemical modifications that altered its aggregation.
A research team has developed a microbial strain capable of producing succinic acid with the highest production efficiency to date. The strain, isolated from a Korean cow's rumen, was engineered through systems metabolic engineering and enzyme engineering to produce 134 g per liter of succinic acid.
A study by Korean researchers found that breastfeeding lowers maternal postpartum diabetes incidence and improves metabolic health through serotonin production. The research showed sustained improvements in pancreatic beta cells lasting years after lactation cessation, reducing the risk of developing diabetes.
Researchers at KAIST found that neuropeptide somatostatin improves visual processing and cognitive functions by reducing excitatory inputs to parvalbumin-positive interneurons. The study provides a new insight into the therapeutics of neurodegenerative diseases, particularly Alzheimer's disease.
A new type of solar cell with a wide bandgap perovskite material has been developed to improve efficiency and durability. The researchers achieved a 26.7% efficient power conversion rate in their double layer solar cell, with the material retaining 80% of its initial capability after 1,000 hours of continuous illumination.
Researchers at KAIST developed a novel wearable strain sensor that overcomes limitations of conventional sensors. The sensor demonstrates high sensitivity, flexibility, and stretchability while being environmentally stable, making it suitable for healthcare applications.
A research group at KAIST has developed an ultracompact camera that captures high-contrast and high-resolution images. The camera's unique design, inspired by the paper wasp species Xenos peckii, combines micro-optical elements for improved image quality and reduced thickness.
Researchers at KAIST developed a 3D hierarchically porous nanostructured catalyst that efficiently converts CO2 to CO, overcoming mass transport limitations. The new catalyst shows high selectivity and mass activity, promising large-scale applications for green energy.
A KAIST research team identified a retino-cortical mapping ratio as the prime determinant in the topography of cortical organization, resolving a long-standing puzzle in understanding visual neuroscience. The study found that evolutionary variation in biological parameters induces distinct functional circuits in the visual cortex acros...
Researchers developed a small molecule that can modify the coordination sphere of copper bound to amyloid-β, inhibiting its aggregation and toxicity. The study offers insights into chemically modifying neurotoxicity in Alzheimer's disease.
Researchers at KAIST have created stretchable OLEDs with a unique stress-relief substrate design featuring pillar arrays that reduce stress on active areas under strain. This technology enables 2D stretchability, overcoming commercial limitations of traditional OLEDs.
Researchers developed a black phosphorus transistor with 10-times lower switching power consumption and 10,000-times lower standby power consumption than conventional CMOS transistors. The transistor achieves record-low subthreshold swing values and high on-state current, paving the way to extend Moore's Law.
A new black phosphorus transistor has been developed that shows 10-times lower switching power consumption and 10,000-times lower standby power consumption than conventional transistors. The transistor can replace CMOS transistors with fast and low-power operations.
Researchers have designed a new graphene-based metasurface capable of independently controlling light's amplitude and phase. This breakthrough technology has the potential to revolutionize optical devices such as holography, high-resolution imaging, and optical communication systems.
Researchers at KAIST have developed a long-lasting and economical catalyst that converts greenhouse gases into hydrogen gas and fuel. The catalyst, made from nickel, magnesium, and molybdenum, can work efficiently for over a month without degrading.
A new blood test uses a carbon nanotube-based sensor to detect Alzheimer's disease with high accuracy, measuring key biomarkers in human plasma. The test achieved an average sensitivity of 90.0% and selectivity of 90.0%, outperforming conventional biosensors.
Researchers at KAIST have discovered mechanisms that fuel a 'domino effect' in cancer drug resistance, enabling failed responses to paclitaxel to speed up the evolution of resistance to other drugs. The study suggests a new strategy for improving second-line cancer treatment.
A team of researchers at KAIST has discovered a novel approach to reprogram healthy colon cells into non-cancerous ones by reducing the activity of a master regulator protein called SETDB1. This method could lead to more effective and less painful cancer treatment options.
Researchers at KAIST discovered a computational and neural mechanism for human meta reinforcement learning, enabling the porting of key human intelligence elements into AI algorithms. The study highlights how humans adapt to complexity and uncertainty in decision-making.
Researchers have uncovered how histone chaperones use chemical energy to assemble chromatin, a critical process in gene expression regulation. The discovery sheds light on the misregulation of chromatin structures and their role in developmental disorders and cancers.
A KAIST research team created a highly sensitive wearable pressure sensor for continuous health monitoring. The sensor overcomes issues of limited stretchability and signal drifting with its integration of liquid metal, achieving an extremely low detection limit and enhanced pressure sensitivity.
A KAIST research team has developed a gallium-based metal complex enabling the rapid chiral analysis of alcohols using nuclear magnetic resonance spectroscopy. This new method can determine enantiomeric excess within minutes, benefiting researchers in organic chemistry and the pharmaceutical industry.
Researchers at KAIST developed AI technology that automatically detects safe moments for AI agents to provide conversation services to drivers. The technology was tested on a real-world driving dataset and demonstrated an accuracy of 87% in determining opportune moments for driver interruption.
Scientists have developed a protocol to measure ultrafast electronic dynamics with picosecond resolution, revealing the spatial oscillation of electrons at sub-terahertz frequencies. The detection scheme utilizes a quantum-mechanical resonant state formed beside the trap, providing new insights into nano-electronics and quantum computing.
A KAIST team has designed a new strategy for electronics that can mechanically transform into a wearable electronic device. The platform allows users to seamlessly tune its stiffness and shape, offering robust and convenient interfaces for various applications.
Researchers have developed a new strategy to enhance catalytic activity using tungsten suboxide as a single-atom catalyst, significantly improving hydrogen evolution reaction performance. The study found that the support effect of tungsten suboxide enhances platinum's mass activity for hydrogen evolution by up to 16.3 times.
Researchers identified a single glucose-sensing neuron that controls insulin and glucagon hormone balance in flies, maintaining ideal glucose homeostasis. Silencing this neuron led to hyperglycemia, similar to diabetes in humans, supporting its critical role in regulating sugar levels.
A KAIST research team developed an advanced system to automatically analyze visual information in films and quantify gender bias. The study found that female characters are often depicted in passive emotions and surrounded by specific objects, promoting public awareness of the importance of prudence when creating characters.
A mathematical model developed by researchers at KAIST reveals how cells can communicate over long distances to spur collective action, even with short distance signaling. The team identified a cell communication mechanism that quickly forms a network of local interactions to facilitate synchronization.
The new technology uses machine learning to analyze sound and vibration responses from a smartphone's built-in sensors. It achieved high accuracy in identifying everyday objects in various environments, paving the way for innovative object interaction applications.
A new mechanism was discovered that induces programmed cell death in cancer cells by disrupting ion homeostasis, leading to increased reactive oxygen species and endoplasmic reticulum stress. This approach has been shown to strongly inhibit tumor growth in animal models.
Researchers developed a DNA vaccine for Severe Fever with Thrombocytopenia Syndrome Virus (SFTSV) that completely protects against lethal infection in ferrets. The vaccine induces both neutralizing antibody response and multifunctional T cell immunity.
Researchers from KAIST have created an ultrathin artificial muscle that expands, contracts, and rotates using electricity, opening doors for applications in wearable electronics and advanced prosthetics. The actuator is flexible, durable, and highly responsive, with a durability of over five hours.
Researchers at KAIST designed a flexible piezoresistive pressure sensor with high uniformity and low hysteresis, offering improved measurement reliability. The sensor's uniformity was found to be directly related to pore size and shape variability.
Researchers developed an advanced method to detect low-level somatic mutations in intractable epilepsy with 100% accuracy, surpassing conventional sequencing analysis which stands at 30%. The study used deep sequencing replicates of major focal epilepsy genes and identified mutations in approximately 5% of patients.
Researchers have designed plastic-based materials that can store natural gas more effectively, achieving a high deliverable gravimetric methane working capacity. The developed material, COP-150, has a total cost of only $1 USD per kilogram and can be produced using freely available plastic materials.
A team of researchers has developed a soft neural implant that can be wirelessly controlled using a smartphone, enabling chronic chemical and optical neuromodulation. The device uses replaceable drug cartridges and powerful low-energy Bluetooth for prolonged periods.
Researchers at KAIST have developed a novel synthesis method for single-crystalline hexagonal graphene quantum dots, which emit stable blue light. The team successfully created homogeneous nucleation of graphene quantum dots through a single-phase reaction.
KAIST researchers developed FLUID platform for dynamic UI distribution on multiple smart devices, accelerating the shift from single-device to multi-device paradigms. The technology supports diverse applications, including live video streaming and navigation apps, enabling users to engage with multiple screens simultaneously.
Researchers have identified non-inherited somatic mutations in the brain that could contribute to Alzheimer's disease progression. These mutations were found to be associated with hyperphosphorylation of tau proteins, a hallmark of AD.
Researchers have discovered a new strategy to extend sodium ion battery cyclability using copper sulfide as the electrode material. This leads to high-performance conversion reactions and is expected to improve the commercialization of sodium ion batteries.
A deep learning-powered computational framework called DeepEC has been developed to predict enzyme commission numbers with high accuracy and efficiency. It uses convolutional neural networks and homology analysis to identify EC numbers, which is essential for understanding enzyme functions.
A mathematical modeling study reveals that photosensitivity and PER2 level affect the efficacy of a clock-modulating drug, enabling precision medicine for circadian disruption. The researchers identified adaptive chronotherapeutics to identify precise dosing regimens that can restore normal circadian phase under different conditions.
Researchers developed a technology to transform game design according to latency levels, predicting player success rates and maintaining gaming performance. The team modified the Flappy Bird game's pillar heights to achieve similar success rates with added latency.
Researchers developed a practical gas phase modulator synthesis of hydrogen-natural gas blend (HNGB) without chemical waste, minimizing environmental impact. The new approach allows for efficient storage and transportation of hydrogen using clathrate hydrates.
Researchers have developed a new strain of microorganisms that can efficiently produce fatty acids and biodiesels from glucose. The resulting strains produced the highest concentrations ever reported by microbial fermentations, making them a potential game-changer for sustainable energy production.
The research team developed a system that allows for the real-time observation of MOF adsorption behavior, enabling accurate measurements and assessments of gas adsorption isotherms. By analyzing individual pore molecules, they identified a stepwise adsorption process and quantified the effects of pore structure and adsorption molecule...
Researchers found that catastrophic genome rearrangements can occur as early as childhood and lead to lung cancer decades later. Gene fusions in non-smokers mostly occur early on, sometimes as early as childhood or adolescence, and are often dormant for several decades before progressing into cancer.
Researchers found that autophagy in dendritic cells supports T-cell anticancer activity by regulating receptor CD36. This process enhances the phagocytosis of apoptotic tumor cells while restricting T-cell activation.