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AI predicts material properties using electron-level information without costly quantum mechanical computations
Traditional computational science and AI methods have been limited in utilizing electron-level information—essential for determining molecular properties—due to the excessive cost of quantum ...
One of the key steps in developing new materials is property identification, which has long relied on massive amounts of experimental data and expensive equipment, limiting research efficiency. A ...
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