arXiv · 2402.16287
Highly Accurate Description of Long-Range Interactions through the Combination of Neural Networks and Physical Models
Abstract
We present a simple and general way to accurately describe long-range interactions between atoms and molecules through combining neural networks with physical models. Demonstrations on the H$_3$, Li$_3$ and 2KRb systems illustrate the exceptional extrapolation capabilities of the trained model, supported by underlying physical models. More importantly, the model exhibits high accuracy at energy scales below a few hundred millikelvin, where the reliability of $ab~initio$ methods diminishes.
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Yingyue Hong, Jiayu Huang, Dong H. Zhang. 2024-02-26. Highly Accurate Description of Long-Range Interactions through the Combination of Neural Networks and Physical Models. https://arxiv.org/abs/2402.16287
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