Deep learning has the potential to accelerate atomistic simulations, but existing models suffer from a lack of robustness, sample efficiency, and accuracy. Simon Batzner, Albert Musaelian, and Boris ...
The alternative text for this image may have been generated using AI. In the last decade, convolutional neural networks (CNNs) have been very successful in computer vision problems, such as ...
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