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Metamaterials and AI converge, igniting innovative breakthroughs

Researchers have made significant breakthroughs by harnessing AI in metamaterials research, leading to faster device development and more precise data analysis. This convergence of AI and metaphotonics has the potential to transform various domains, including diagnosis, environmental monitoring, and security.

SourcePohang University of Science & Technology (POSTECH)·JournalCurrent Opinion in Solid State and Materials Science·DateMar 19, 2024

A breakthrough in all-solid-state battery technology, enhancing the performance of the lithium from the bottom

A research team developed an anode protection layer to prevent random electrodeposition of lithium, promoting stable 'bottom electrodeposition' and reducing unnecessary consumption. The breakthrough results in all-solid-state batteries with stable electrochemical performance over extended periods using ultrathin lithium metal anodes.

Flexible artificial intelligence optoelectronic sensors towards health monitoring

Researchers from Tokyo University of Science developed a flexible paper-based sensor that operates like the human brain, enabling low-power and efficient health monitoring. The device can distinguish 4-bit input optical pulses and generate currents in response to time-series optical input, with rapid response times.

SourceTokyo University of Science·JournalAdvanced Electronic Materials·TypeExperimental study·DateMar 11, 2024

The new system allows to look at phenomena that occur in special “topological” materials by video recording the motion of pendula

The study reveals insights into topological materials by visualizing the motion of coupled pendula, reproducing behaviors of electrons in periodic systems. The researchers directly measure Bloch oscillations and Zener tunneling phenomena, previously impossible to observe in quantum systems.

SourceTel-Aviv University·JournalProceedings of the National Academy of Sciences·DateMar 7, 2024

Advanced noise suppression technology for improved search and rescue drones

A novel AI-based noise suppression system has been developed to improve the effectiveness of search and rescue drones during natural disasters. The system uses Generative Adversarial Networks (GANs) to accurately learn UAV propeller sound data and eliminate noise, allowing operators to clearly hear and recognize human sounds.

SourceShibaura Institute of Technology·JournalIEEE Transactions on Services Computing·TypeComputational simulation/modeling·DateMar 6, 2024

Guardian of drone: Towards autonomous sea-land-air cloaks

A team at Zhejiang University has developed a self-driving cloaked unmanned drone with an intelligent aeroamphibious invisibility cloak, capable of manipulating electromagnetic scattering in real-time across dynamic environments. The cloak integrates perception, decision-making, and execution functionalities using spatiotemporal modula...

Tests show high-temperature superconducting magnets are ready for fusion

Researchers at MIT and Commonwealth Fusion Systems confirm their high-temperature superconducting magnet design meets the criteria for a compact fusion power plant. The successful test marks a significant milestone in fusion research, with the potential to usher in an era of virtually limitless power production.

SourceMassachusetts Institute of Technology·JournalIEEE Transactions on Applied Superconductivity·DateMar 4, 2024

New structural insights could lead to mechanical enhancement in alloys

Researchers discovered that a new class of metallic materials with potential applications in aerospace and energy can withstand extreme temperatures and resist fractures thanks to their short-range order. The study revealed the interaction between short-range order and planar defects, which enhances the alloys' mechanical performance.

SourcePenn State·JournalNature Communications·TypeExperimental study·DateFeb 23, 2024

Nanoscale manipulation of exciton–trion interconversion in a MoSe2 monolayer via tip-enhanced cavity-spectroscopy

Researchers have developed a novel 'nano active control platform' to control excitons and trions, providing valuable insights into the optical properties of two-dimensional semiconductors. The breakthrough discovery enables real-time analysis of nano-light properties with exceptional spatial resolution.

Green steel from toxic red mud

Scientists at Max-Planck-Institut für Eisenforschung have developed a method to produce green steel from toxic red mud using an electric arc furnace and hydrogen plasma, potentially saving 1.5 billion tonnes of CO2. The process is also economically viable, requiring only 30-40% iron oxide in the red mud.

SourceMax-Planck-Gesellschaft·JournalNature·DateFeb 5, 2024

Lights, detector, action!

Researchers at Kyoto University have developed a novel method for quantum infrared spectroscopy, generating a wider range of infrared photons with improved sensitivity. This breakthrough enables compact, high-performance scanners for various applications in environmental monitoring, medicine, and security.

SourceKyoto University·JournalOptica·TypeExperimental study·DateJan 24, 2024

New material allows for better hydrogen-based batteries and fuel cells

Researchers have developed a solid electrolyte that allows for efficient hydride ion conduction at room temperature, enabling the creation of safer, more efficient hydrogen-based batteries and fuel cells. This breakthrough provides material design guidelines for the development of next-generation energy storage solutions.

SourceRIKEN·JournalAdvanced Energy Materials·DateDec 21, 2023

INU researchers develop novel deep learning-based detection system for autonomous vehicles

A new deep learning-based detection system has been developed by INU researchers to improve the detection capabilities of autonomous vehicles. The system, aided by IoT technology, generates bounding boxes and confidence scores for visible obstacles using point cloud data and RGB images as input.

SourceIncheon National University·JournalIEEE Transactions on Intelligent Transportation Systems·TypeComputational simulation/modeling·DateNov 30, 2023

GIST researchers improve water splitting reaction for green hydrogen gas production

Researchers from GIST have developed a new electrode using Schottky junctions to overcome the conductance limit of active catalysts, achieving high-performance water splitting and hydrogen evolution reactions. The electrode demonstrated remarkable current density and durability during continuous operation for 10 days.

SourceGIST (Gwangju Institute of Science and Technology)·JournalApplied Catalysis B Environment and Energy·TypeExperimental study·DateNov 15, 2023

How to build greener data centers? Scientists say crank up the heat

Scientists propose new temperature guidelines for data centers that may help reduce energy consumption and save money. Researchers found that raising the temperature to around 41°C could lead to significant savings, with some areas able to rely entirely on free-cooling, reducing energy costs by up to 56%.

SourceCell Press·JournalCell Reports Physical Science·TypeComputational simulation/modeling·DateOct 18, 2023

Physicists demonstrate powerful physics phenomenon

Researchers at Ohio State University have detected a previously unknown physics phenomenon, the orbital Hall effect, which could revolutionize data storage in future computer devices. The study's findings suggest that utilizing orbital currents instead of spin currents could lead to lower energy consumption and higher speeds.

SourceOhio State University·JournalPhysical Review Letters·DateOct 13, 2023

New study unveils stretchable high-resolution user-interactive synesthesia displays for visual–acoustic encryption

A research team at UNIST has developed a groundbreaking stretchable high-resolution multicolor synesthesia display that generates synchronized sound and light. This technology shatters preconceived boundaries in multifunctional displays, offering unparalleled optical performance and precise sound pressure levels.

SourceUlsan National Institute of Science and Technology(UNIST)·JournalAdvanced Functional Materials·DateOct 12, 2023

KMOU researchers propose a novel liquid filter for enhanced solar energy utilization

The novel liquid filter efficiently absorbs UV light and infrared radiation, increasing the energy harvesting potential of de-coupled photovoltaic-thermal systems. The proposed system has been shown to improve conversion efficiency and reduce operating temperatures, making it economically beneficial.

SourceNational Korea Maritime and Ocean University·JournalEnergy Conversion and Management·TypeExperimental study·DateSep 21, 2023

Modernizing the Navy’s microgrids

The project aims to assess the operational resilience of microgrids on DoD installations and ships, using new operational resilience indexes developed by Lehigh University researcher Javad Khazaei. The team will develop a dashboard to monitor resilience indexes in real-time, providing recommendations for improving the systems.