Deep Learning
New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
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QuinNet: Efficiently Incorporating Quintuple Interactions into Geometric Deep Learning Force Fields
Neural Information Processing Systems
Currently, two mainstream GNN-based methods have been developed for constructing force fields: group theory-based methods and direction-based methods.
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A Appendix
Neural Information Processing Systems
Literal Interpretation: One of the limitations is the model's tendency to interpret questions
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