There is a big problem with quantum technology—it's tiny. The distinctive properties that exist at the subatomic scale ...
Tech Xplore on MSN12d
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 MSN4d
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 ...
The team examined quasiparticles known as excitons, which have unique optical properties and can carry energy without an electrical charge, in a semiconductor material. Semiconductors -- which are ...
The company owns nine properties locally in Milpitas and North San Jose, totaling roughly 800,000 square feet.
Soft, flexible semiconductor The new material merges tissue-like properties of hydrogels and electronic functionalities of semiconductors, meeting all the criteria for next-generation bioelectronic ...
The distinctive properties that exist at the subatomic scale usually disappear at macroscopic scales, making it difficult to ...
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