Researchers at Kyoto University have developed a machine learning model integrated with neural networks to predict the band ...
Tech Xplore on MSN3d
Machine learning method improves semiconductor band gap predictionsImagine you're cooking. You're trying to develop a unique flavor by mixing spices you've never combined before. Predicting ...
A new hydrogel material combines the characteristics of biological tissues with the electronic functionalities of ...
Phys.org on MSN14d
Light-twisting materials created from nano semiconductors could be a game-changer for opticsCornell scientists have developed a novel technique to transform symmetrical semiconductor particles into intricately twisted, spiral structures—or "chiral" materials—producing films with ...
Tech Xplore on MSN8d
Semiconductor material for short-wave infrared sensors developedThe Korea Research Institute of Standards and Science has successfully developed a high-quality compound semiconductor ...
Excitons, encountered in technologies like solar cells and TVs, are quasiparticles formed by an electron and a positively charged "hole," moving together in a semiconductor. Created when an electron ...
In the wake of AI, unprecedented demand for data and computing power is outstripping capabilities. This will drive the ...
KRISS has addressed these challenges by developing a new InAsP material, grown on an InP substrate as the light-absorbing ...
The "Kutsari" project is an initiative of the Mexican government for the development of semiconductors in the country ...
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