Researchers created a cellulose-based separator infused with bikitaite zeolite, which enhances lithium-ion transport and stabilizes the lithium-metal anode. The separator improves high-rate performance of the NCM90 cathode, reducing polarization and facilitating electrochemical reactions.
Researchers at Hanbat National University developed a hybrid physics-informed neural network framework for optimization of latent heat thermal energy storage systems. The framework enables rapid, autonomous design optimization by teaching the AI model governing laws of physics.
Researchers developed a machine learning framework to account for water quality differences, enabling accurate MC-LR measurements without repeated calibration. The model achieved a Nash-Sutcliffe efficiency of 0.89 and improved analytical efficiency while reducing time, labor, and sensor consumption.
The study isolated the effect of dielectric screening on excitonic properties in 2D perovskites. The research team found that changes in organic spacer length lead to a substantial rise in exciton binding energy.
Researchers from Hanbat National University develop switchable thermochromic transparent woods for smart windows, blocking UV radiation and reducing thermal conductivity. The material enables energy-autonomous light regulation and protects skin without sacrificing visible light.
A team of researchers has developed a two-in-one nanostructured SERS sensor integrated into a stretchable and antimicrobial wrapper that monitors food directly on the surface and actively preserves it. The proposed technology enables real-time, non-destructive detection of nutritional components and tracks spoilage progression over time.
Researchers at Hanbat National University have developed a game-changing heat shield technology that provides dual-layer protection for high-temperature alloys. The sequential B-Si coating technology allows these alloys to withstand extremely high temperatures, potentially transforming the aviation industry.
Hanbat National University researchers have developed a new method for enhancing the performance of solid oxide fuel cells by inducing cobalt exsolution in high-temperature oxidizing atmospheres. This process results in improved electrochemical properties and higher oxygen reduction reaction activity, making it a promising direction fo...
A new study from Hanbat National University demonstrates how quantum reinforcement learning can optimize residential heating, ventilation, and air conditioning systems for improved energy efficiency and indoor air quality. The technology reduces power consumption by up to 63% and decreases electricity costs by up to 64%.