Large-Scale Atomic Simulation via Machine Learning Potentials Constructed by Global Potential Energy Surface Exploration
Atomic simulations based on quantum mechanics (QM) calculations have entered into the tool box of chemists over the past few decades, facilitating an understanding of a wide range of chemistry problems, from structure characterization to reactivity determination. Due to the poor scaling and high com...
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Published in | Accounts of chemical research Vol. 53; no. 10; pp. 2119 - 2129 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
20.10.2020
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Online Access | Get full text |
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