Machine Learning Aids Atomic-Level Material Simulation, Enhancing Quantum Bit and Sensor Performance
In the rapid development of quantum computing and sensor technology, accurately simulating the behavior of atomic-level materials is particularly important. However, traditional simulation methods ...
Researchers at the University of California, Irvine, together with international collaborators, have developed a new electron ...
Copper selenide (Cu₂Se) attracts scientific interest for its thermoelectric ability to convert heat into electricity, but a ...
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