There is a big problem with quantum technology—it's tiny. The distinctive properties that exist at the subatomic scale ...
Tech Xplore on MSN11d
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 ...
Researchers at Kyoto University have developed a machine learning model integrated with neural networks to predict the band ...
Using 3D process models to predict the impact of mechanical stress on yield and performance. With the semiconductor industry ...
Quantum technology struggles with scaling up, as the special properties of quantum materials typically vanish in larger ...
Tech Xplore on MSN3d
Enhancing radiation resistance of silicon carbide power semiconductors for space applicationsA research team led by Dr. Jae Hwa Seo at Advanced Semiconductor Research Center of KERI has developed technology to evaluate ...
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 ...
From Stacked Nano-Sheet to Fork-Sheet and CFET Devices” was published by researchers at Imec and Ghent University, et al. Abstract “After a short description of the evolution of ...
The distinctive properties that exist at the subatomic scale usually disappear at macroscopic scales, making it difficult to ...
A research team has developed a groundbreaking method for synthesizing perovskite nanocrystals (PNCs), a next-generation semiconductor material, in a more uniform and efficient manner. This study is ...
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