A new stretchable piezoelectric energy harvester has been developed using lead zirconate titanate (PZT), exhibiting high energy efficiency and stretchability. The device is 280 times more efficient than traditional stretching piezoelectric energy harvesters.
A research team at DGIST has developed a breakthrough technology that improves fuel cell durability by incorporating nitrogen into alloy catalysts. The new method significantly enhances stability and reduces platinum usage, leading to more efficient and sustainable energy solutions.
A research team led by Prof. Lee Hyo-sang of DGIST has discovered that astrocytes play a crucial role in regulating stress responses in the lateral septum of the brain. This finding may lead to the development of new treatments for anxiety and depression.
Scientists at DGIST have created a technology to manufacture high-performance liquid process-based electronic parts at lower temperatures than before. This innovation harnesses the 'heat of combustion' generated in materials, enabling the production of robust yet flexible electronic components for wearable devices and smart products.
Professor Chiyoung Park's team created a supramolecular photocatalyst that converts sunlight into chemical energy, producing hydrogen. The system was combined with Shewanella oneidensis MR-1 to produce ascorbic acid into hydrogen continuously under sunlight. This technology has the potential to provide sustainable energy solutions.
Researchers at DGIST have developed a fully embedded wireless brain neural signal recorder that enables real-time recording of brain neural signals in non-human primates. The system uses wireless power transmission and communication to record brain activity during natural behaviors, such as eating or moving freely.
Researchers developed a technique to drastically enhance perovskite solar cells using hydrogen-bonding additives. The additive protects critical components from rapid alteration, maintaining stability over time. This approach increased power conversion efficiency by 1.7% and improved overall performance.
Researchers at DGIST have introduced a novel quantum state and mechanism for extracting and controlling quantum information using exciton and Floquet states in two-dimensional semiconductors. This discovery offers valuable insights into the exciton formation process, advancing quantum information technology.
Researchers developed a new method for doping silver in solar cells to suppress defects and promote crystal growth, increasing efficiency. Ag doping inhibits Sn loss and improves cell performance by preventing defect formation and maximizing the suppression effect.
Researchers developed a recyclable high-sensitivity sensor using a dynamic polymer network, addressing the issue of performance degradation in existing sensors. The new material maintains excellent sensitivity and durability through self-healing properties, enabling repeated use and recycling without degradation.
A joint research team developed an ultra-sensitive pressure sensor for electronic skin inspired by the human brain's nervous system. The sensor detects slight changes in pressure, heart rate, and finger movements, making it suitable for wearable devices and medical monitoring systems.
The development of a 3D smart energy device with reversible heating and cooling capabilities offers an efficient solution for reducing energy consumption. The device harnesses the sun and outdoor air as heat and cold sources, making it an eco-friendly and sustainable alternative to traditional devices.
Researchers developed a new method to improve the performance and stability of solar cells using perovskite quantum dots. The
A study led by Prof. Seo Byeong-Chang has discovered the working principle of proton-activated chloride (PAC) channels, which play a crucial role in protecting cells from acidification-induced damage. The research found that PI(4,5)P2 is essential for activating PAC channels, preventing cell swelling and tissue damage.
Researchers at Daegu Gyeongbuk Institute of Science and Technology developed a new fuel cell catalyst made from platinum and magnesium, significantly improving efficiency and longevity. The catalyst surpasses US Department of Energy's 2025 performance targets, demonstrating its high efficiency and long-term stability.
A team of researchers has developed a double-layer dry transfer printing technology to create ultrahigh-definition light-emitting devices with high efficiency. This innovation enables better augmented reality (AR) and virtual reality (VR) experiences, reducing dizziness caused by small screens conveying large amounts of information.
A research team at DGIST developed an electronic suture that can monitor wound inflammation levels in real-time. This innovation allows for more effective wound care and personalized medicine by detecting infections early.
A team of researchers at DGIST developed an ionic polyurethane-based triboelectric generator with self-healing and biodegradable properties, which can produce high electrical energy density. The device shows a power output of up to 436.8 mW/m² and maintains its efficiency after prolonged use.
Researchers developed FT-pdf microscopy to visualize endosome transport in cells, revealing temporal patterns similar to reinforcement learning strategies. This discovery provides new insights into precise material delivery and may contribute to understanding and diagnosing diseases.
The study reveals that dopamine signals in the physiological range do not affect brain neural signal processing, contradicting current theories. However, significant effects were observed when dopamine was artificially released at more than five times the normal range, suggesting other factors may play a role.
A joint research team from DGIST and POSTECH has developed a next-generation stretchable electronic component that maintains performance even under deformation or external impacts. The technology enables stable electrical functionality in various industries, such as displays, healthcare, and wearables.
Researchers developed ultrasound-assisted photothermal therapy (ULTRA-PTT) to overcome limitations of light penetration depth, achieving deeper imaging and improved treatment efficacy. The technology uses air bubbles created by ultrasound energy, minimizing optical scattering and ensuring safety for human application.
A team of researchers from DGIST developed a soft and flexible balloon implant for controlled and targeted drug delivery. The balloon demonstrated sustained drug release for over five months with minimal variation in dose, and showed reduced foreign body responses compared to previous devices.
The research team developed a high-efficiency photocatalyst that converts carbon dioxide into natural gas using solar energy and water. The new catalyst exhibits improved catalysis and regeneration properties compared to conventional photocatalysts.
A team of researchers has developed a new human implantable, wireless, health monitoring electronic suture system to accurately monitor the recovery process. The system combines a medical needle and thread to close wounds while performing functions as an electronic device.
A team of researchers has developed a new method to enhance the electrical conductivity of solar cells using 'pulse-shaped' light. This approach can replace the existing heat treatment process, which is time-consuming, and results in higher efficiency.
DGIST researchers successfully develop dual-site radioactive isotope dye-sensitized betavoltaic cells with high efficiency and stability. The new battery technology generates power without recharging and has a semi-permanent lifespan.
The DGIST-Stanford joint research team successfully developed a novel medical AI model based on federated learning, which can accurately segment body organs by effectively learning medical image data from different hospitals. The technique uses shared embedding learning to enable federated learning without data breaches and leaks.
Researchers have developed an oblong-shaped ultrasound transmitter and receiver to improve energy harvesting from ultrasound beams, increasing efficiency by up to 50% compared to conventional systems. The new technology has been tested in various conditions, including water and tissue, with promising results.
Researchers at DGIST have developed three-dimensional retinal electrodes with a convex braille shape, which can stimulate remaining normal nerve cells in the retina. This technology aims to partially restore vision to patients with blindness by minimizing distance to cells and reducing current required for stimulation.
Researchers at DGIST and UNIST developed high-performance, skin-attachable perovskite pure red light-emitting devices with enhanced color representation. The team replaced iodine with bromine to improve surface-to-volume ratio and stability, achieving exceptional electrical properties.
A team of researchers characterized electron-hole separation in kesterite thin-film solar cells using scanning probe microscopy. They found that defects at the crystal interface cause electron-hole recombination losses, but suggested creating a light-absorbing layer with higher energy levels to improve efficiency.
Researchers developed a novel dual-layer coating technique to stabilize lithium metal anodes, addressing issues like dendrite formation and hydrogen evolution reactions. This innovation enables safer and more efficient aqueous zinc batteries.
Researchers at DGIST developed a method to fixate chemisorbed oxygen molecules via h-BN encapsulation, leading to passivation of 2D semiconductor crystals. This approach can revolutionize the control of defect states in these materials.
Researchers at DGIST developed a neural network module called DG-Net, which can accurately extract objects from aerial and satellite imagery. The technology has shown exceptional accuracy in geographic spatial object segmentation, outperforming existing models.
A team at DGIST has developed an 'Inorganic-Organic Thermoelectric Composite' that promises competitive pricing while addressing efficiency and flexibility challenges in thermoelectric technology. The breakthrough is expected to revolutionize traditional industries and pave the way for advancements in new sectors.
Researchers at DGIST developed a device that converts frictional force into electrical energy, removing surface contamination on solar cells. The technology enhances solar power generation efficiency by up to 90% and eliminates the need for manual cleaning.
Researchers at DGIST created a three-terminal neuromorphic device that stores multiple data levels like neurons, achieving high efficiency and speed. The device responds 10,000 times faster than human synapses and consumes very little energy.
Researchers have developed a sensor that uses metal-organic framework to detect volatile organic compounds, which are widely present in the environment and cause pollution. The sensors can be easily produced at low cost and perform well even in high-humidity environments.
A new photocatalyst developed by DGIST's In Su-il research team converts carbon dioxide into useful fuel more efficiently than existing TiO2 catalysts. The technology has the potential to be applied to Carbon Capture and Utilization (CCU) technology, offering a promising solution to reduce global warming.
Researchers developed a high-efficiency catalyst that converts carbon dioxide into ethylene using vitamin C. The catalyst promotes the formation of essential intermediate product carbon monoxide at high current density, overcoming existing electrochemical catalyst limitations.
Researchers at DGIST have developed a new manufacturing technology that enables the production of high-quality oxide films and effective patterning at low temperatures. The technology is expected to be used in next-generation computing systems, overcoming existing shortcomings.
Researchers at DGIST have created highly durable brain electrodes made of soft and elastic materials, sticking well to the curved brain surface. These electrodes can maintain stable performance over long-term use, enabling various applications in brain–machine interfaces and electronic medical devices.
The team of Professor Jeongho Kwak from DGIST developed a 'VisionScaling' algorithm that combines accuracy and efficiency for 6G vision services, reducing energy consumption by at least 30% while maintaining average accuracy. The algorithm adapts to changing mobile environments using Online Convex Optimization (OCO) techniques.
Dr. Lee's CNT transistor enables detailed examination of molecular interactions, capturing serotonin and dopamine movements with unprecedented sensitivity. The research paves the way for high-precision study of intermolecular interactions, potentially leading to precise medical technology capable of controlling biological systems.
Scientists discovered the molecular code for brain neural circuits and identified characteristics of excitatory synapses that contribute to memory of new object locations. Fine-tuning of specific excitatory synapse traits may be used in developing treatments for related brain developmental disorders.
The DGIST Academy-research integration research team developed a new technology that can analyze high-speed electrons within thin components in extreme environments. This achievement was made possible through the systematic establishment of academy-research integration programs, enabling significant outcomes to emerge.
Professor Sang-hyun Park's research team developed AI technology that minimizes structural deformation in images while maintaining texture information from a new domain. This enables domain adaptation for deep learning models trained with generated images.
A research team at DGIST has developed a new approach to protect the surface of quantum dots using non-polar solvents and covalent ligands, significantly reducing defects and improving efficiency and long-term stability in perovskite quantum dot solar cells. This breakthrough enhances the commercialization of applicable materials.
The DGIST research team developed an image translation model that can reduce biases in data despite the lack of information on underlying factors. The model achieved superior performance compared to existing methods on various biased datasets, including those with texture biases.