Highly Accurate Description of Long-Range Interactions through the Combination of Neural Networks and Physical Models
arxiv(2024)
摘要
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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