The team developed an optical ultrasonic sensor that detects minute vibrations caused by sound using light, overcoming signal attenuation in air. The sensor delivers exceptional performance with a high receiving responsivity and ultra-high sensitivity.
Researchers developed a hierarchical graphene nanowall nanomesh that enhances sensing performance and enables long-term gas monitoring on wearable masks. The 'nano-on-nano' structure confines gas molecules, increasing interactions with the graphene surface, and maintains breathability and flexibility.
A research team at DGIST developed a low-complexity receiver technology that can perform data communication and detect surrounding objects using a single automotive radar. The technology achieved stable communication performance and improved target range measurement and detection performance.
The research team has developed a novel optical control platform, LATeNT, that uses light to block signal transmission between neurons and restore normal signaling. This technology has the potential to be widely applicable to various life science and medical research fields, including brain disorders and regulating insulin secretion.
Researchers improved sunlight-driven photocatalyst performance by integrating two cocatalysts, stabilizing the unstable MoSe₂ phase and enhancing electron transfer. The new catalyst achieved a threefold increase in methane production compared to conventional TiO₂ photocatalysts.
Researchers at DGIST identified a novel molecular mechanism regulating the N-type voltage-gated calcium channel, which plays a critical role in neural signal transmission. This discovery provides an important clue for developing therapeutics for brain disorders such as neuropathic pain, epilepsy, and Alzheimer's disease.
Researchers have developed an AI-based thickness-optimized acoustic hologram (TOAH) technology that directly optimizes the thickness of a 3D-printed lens to stimulate multiple brain regions. The technology enables precise multi-site brain stimulation using only a single thin lens and ultrasound transducer.
Researchers propose three principles for sustainable robots: minimally invasive, universally accessible, and symbiotic. They emphasize the importance of considering robots' environmental and social impacts in design.
Researchers at DGIST developed an artificial olfactory system that uses metal-organic frameworks to detect and analyze various odors. The system leverages machine learning and deep learning techniques to classify and interpret complex odor signals, enabling accurate disease diagnosis, environmental monitoring, and more.
A research team at DGIST has identified TWIK-1 as a key regulator of touch sensation and chronic pain, providing a new understanding of the mechanisms underlying neuropathic pain. The study suggests new therapeutic possibilities for selectively regulating pain persistence, offering hope for improved treatment options.
Researchers at DGIST elucidated the protective mechanism of the p53 gene, which prevents neural stem cell death under chronic stress conditions. The study found that p53 functions as a survival factor by suppressing autophagy, and an existing anticancer drug can inhibit p53 degradation to prevent brain cell death.
The research team developed a technology that directly forms a junction structure within a 2D semiconductor using a laser to enhance photodetection performance. The resulting energy barrier rapidly separates the positively and negatively charged carriers generated by light, suppressing their recombination.
Researchers developed technology to analyze electroencephalogram (EEG) signals triggered by thermal stimuli, classifying pain intensity objectively. The AI model reduces bias in subjective self-reported labels, improving performance compared to conventional models.
Researchers at DGIST developed Laser-Assisted Microlens Array Processing to create precise defects in 2D semiconductors. This technology resulted in a 63-fold increase in on-current and 51-fold improvement in field-effect mobility, making it suitable for next-gen ultra-compact semiconductors.
Researchers have developed a solid electrolyte technology for lithium metal batteries that operates stably even at low temperatures while reducing fire risks. The new electrolyte improves battery performance and enhances safety, making it suitable for commercialization.
A study by DGIST researchers reveals that the olfactory system is the first to be damaged in Alzheimer's disease due to distinct immune responses in different brain regions. The findings provide new insights into the early warning signs of dementia and potential diagnostic markers.
A research team at DGIST has developed a wearable sweat sensor using semiconductor fibers that can collect and analyze sweat automatically. The sensor detects various biosignals, including electrolytes and metabolites, without the need for external power sources.
A research team at DGIST has developed a next-generation near-infrared image sensor technology combining quantum dots with two-dimensional semiconductors. The new sensor exhibits high responsivity and detectivity, enabling rapid detection of weak infrared signals in fog or smoke.
Researchers at DGIST have developed a novel catalytic technology that can easily assemble key structural frameworks of bioactive compounds exclusively in the desired mirror-image form. The technology uses an inexpensive nickel catalyst to synthesize β-methylene carbonyl derivatives, which are crucial for pharmaceuticals.
The study found that the MDGA1 protein modulates brain neural circuits and its mutation leads to over-excitation. Administering bazedoxifene restored normal behavior in male mice with autism-like behaviors.
A research team at DGIST has discovered a mechanism to treat dementia by regulating brain immune cells. Somatostatin, a neurotransmitter, prevents the overactivation of immune cells and restores their protective role in removing waste from the brain.
Researchers at DGIST have developed a next-generation optical sensor that can detect the spin information of photons, enabling direct detection of circularly polarized light. The sensor demonstrates high performance and broad spectral range, opening doors for diverse fields like quantum communication and secure optical communication.
Researchers at DGIST elucidated the microscopic mechanism of quantum order loss in 'open quantum environments', a long-standing challenge. They discovered that interactions with the environment govern ultrafast electronic decoherence in solids, resolving the mystery.
The research team developed a novel peptide MLPH that promotes hair growth without side effects of existing drugs, using computational modeling. In vivo experiments confirmed significant hair growth effects comparable to minoxidil, without hematopoietic side effects.
The research team developed a two-terminal-based AI semiconductor that precisely controls hydrogen with electrical signals, resolving speed degradation and high power consumption limitations. The device ran stably for over 10,000 repetitive operations and demonstrated learning and memory functions similar to human brain synapses.
Researchers developed dual-modulated vertically stacked transistors with nanoscale channels, overcoming current leakage issues. The device achieves stable operation and low power loss in 3D stacked structures.
A research team developed an innovative analytical technology to precisely examine intrinsically disordered proteins, a key cause of neurodegenerative diseases. The technology enabled accurate identification of protein structures at the atomic level, revealing how temperature and genetic mutations affect protein structure.
Researchers have identified brain neuropeptides as key drivers behind delayed antidepressant effects for the first time. The study found that medication-driven serotonin levels primarily serve as a 'starting signal' while the peptide plays a central role in brain recovery.
Researchers at DGIST have developed a technology to precisely control anion defects in eco-friendly quantum dots, enabling record-breaking solar hydrogen production efficiency. The defect-minimized eco-friendly quantum dots exhibited increased charge carrier concentration and prolonged lifetime, allowing for efficient charge migration ...
Researchers found that adult brains remodel their sensory checkpoints, allowing for high-resolution sensory perception. The brain's 'sensory checkpoint' is reorganized during adulthood to filter out unnecessary sensory signals and receive only important information more clearly.
A research team has identified a principle for designing atomic-level interactions in catalysts to selectively produce desired products from carbon dioxide conversion. The discovery could lead to more efficient solar-driven carbon utilization technologies, addressing the climate crisis.
Researchers have developed a new memory principle that enables electrical information storage and retrieval through simple stacking of materials. The 'graphene memory' mechanism, discovered by stacking graphene with α-RuCl₃, retains stored information even when power is turned off.
Researchers have identified MDGA2 as a causative gene for developmental and epileptic encephalopathy (DEE), a rare neurological disorder. The study highlights the potential for early diagnosis and new therapies to modulate MDGA2 function or reduce excessive excitatory signaling in the brain.
The research team led by DGIST Professor Su-Il In developed a high-performance next-generation betavoltaic battery with an energy conversion efficiency of 10.79%. This is a significant improvement over the previously reported highest efficiency for perovskite-based betavoltaic batteries.
Researchers successfully developed high-resolution electronic skin devices on breathable nanomesh substrates using transfer technology. The new electrodes achieved excellent breathability and conductivity even at thicknesses of 20 nm or less.
A research team at DGIST developed an AI foundation model that can self-learn brain signals and deliver high accuracy with very small amounts of labels. The 'EEG-fNIRS Multimodal Foundation Model' analyzes both EEG and fNIRS signals, overcoming limitations in multimodal AI.
The research team developed 'ULM-Lite,' a new analysis method that retains essential information from ultrasound signals, significantly reducing data size and increasing processing speeds. This technology enables clear visualization of the entire brain non-invasively without requiring surgery or fluorescent materials.
A new electrode material was developed by DGIST to significantly enhance lithium-sulfur battery performance. The material, TiO-NGPC, features a porous honeycomb-like structure that securely holds sulfur and promotes electrical conductivity.
The researchers created a new ultrasound technology that can clearly visualize blood vessels deep inside the human body in three dimensions without using contrast agents or radiation. This innovation is expected to significantly improve medical imaging safety and accessibility.
A joint research team from DGIST and Caltech developed a highly efficient photocatalyst that converts carbon dioxide into methane using sunlight. The new structure improves light energy usage, allowing for a fivefold increase in performance compared to ordinary conditions.
The joint DGIST–ROKNA research team developed an extrapolation-based Doppler resolution enhancement algorithm for frequency modulated continuous wave radars. This technology improves radar system performance on various intelligent unmanned platforms without additional complex computations or hardware.
A new memristor wafer integration technology has been developed, enabling the creation of brain-like AI chips with high efficiency and compact storage. The technology overcomes limitations of conventional semiconductors by storing and processing information in a more compact space.
Researchers at DGIST discovered a new regulatory factor called 'chlorella RNA' that regulates the aging of plant leaves. The study found that chlorella RNA affects the transcriptional regulation activity of chloroplasts, leading to a decline in photosynthetic function and degradation of chloroplasts.
Researchers discovered that rapidly increasing temperature during material thermal processing leads to more orderly crystal growth and smoother charge transport. This results in a substantial improvement in efficiency of eco-friendly solar cells made from antimony selenide, an abundant and eco-friendly material.
The research team designed a polymer electrolyte that enables precise control of triboelectric polarity, enhancing output performance and providing flexibility in material design. The results showed that the new material can quadruple power generation efficiency compared to conventional materials.
Researchers developed a new technology that converts titanium oxide semiconductors into p-type semiconductors using just one laser process. This Laser-Induced Oxidation and Doping Integration (LODI) technology can simultaneously execute oxidation and doping, drastically shortening the traditional complex process.
A new one-shot federated learning AI technique has been developed to combine privacy protection and efficiency in medical image analysis. The technique increases training data diversity, reduces overfitting, and eliminates unnecessary computation, achieving higher accuracy with fewer computations.
DGIST researchers develop innovative manufacturing process for high-performance permanent magnets, overcoming conventional limitations. The new technology creates uniform magnetic performance throughout the magnet, enabling miniaturization and weight reduction in electric vehicle motors.
A next-generation coil interface has been developed for efficient and safe non-contact peripheral nerve stimulation, enhancing the treatment of chronic pain and nerve dysfunctions. The breakthrough technology uses magnetic fields to stimulate nerves without direct contact, minimizing scar tissue formation and skin irritation.
A research team at DGIST developed a new alloy structure that enhances oxygen reduction reaction efficiency in hydrogen fuel cells. The catalyst, which combines platinum and transition metals with magnetic properties, exceeded durability targets set by the US Department of Energy.