In a new study, environmentally benign inverse-perovskites with high energy conversion efficiency have been reported by Tokyo Tech scientists with potential for practical application as thermoelectric ...

A new D-band CMOS transceiver chipset with 56 GHz signal-chain bandwidth achieves the highest transmission speed of 640 Gbps for a wireless device realized with integrated circuits, as reported by ...

A novel coordination polymer-based photocatalyst for CO 2 reduction exhibits unprecedented performance, giving scientists at Tokyo Tech hope in the fight against global warming. Made from abundant ...

The issue of battery usage inefficiency in electric vehicles resulting from an inaccurate battery charge measurement may finally get resolved, thanks to a diamond quantum sensor prototype developed in ...

New phased-array transmitter design overcomes common problems of CMOS technology in the 300 GHz band, as reported by scientists from Tokyo Tech. Thanks to its remarkable area efficiency, low power ...

Controlling the crystal phase of cobalt nanoparticles leads to exceptional catalytic performance in hydrogenation processes, report scientists from Tokyo Tech. Produced via an innovative ...

The Global Scientific Information and Computing Center (GSIC) at Tokyo Tech started operation of its next-generation supercomputer, TSUBAME 4.0, on April 1. Since TSUBAME1.0 started operation in April ...

The discovery of Ba 2 LuAlO 5 as a promising proton conductor paints a bright future for protonic ceramic fuel cells, report scientists from Tokyo Tech. Experiments show that this novel material has a ...

Nanogap gas sensors through a reliable and scalable fabrication strategy have been designed and produced by scientists at Tokyo Institute of Technology (Tokyo Tech). The gap between electrodes, which ...

Researchers from Tokyo Tech have developed a tin-based metal–organic framework (MOF) that can photocatalytically reduce carbon dioxide (CO 2) into formate under visible light. The tin-based MOF ...

日本語能力に優れビジネスにも安心して活用できる大規模言語モデルを公開 継続事前学習により大規模言語モデルの日本語能力を改善 高度な日本語処理が求められる多くの場面で、生成AI ...

Donor doping into a mother material with disordered intrinsic oxygen vacancies, instead of the widely used strategy of acceptor doping into a material without oxygen vacancies, can greatly enhance the ...