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 ...
Like a student who once designed a nuclear bomb from textbooks, today’s AI systems can stitch together public scraps of information into dangerous blueprints—at speed, at scale, and without realizing ...
Atomic Canyon and INL have developed an open-source AI benchmark suite for nuclear applications to ensure safety, compliance, ...
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