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(Bitter) Lessons from Scaling Machine Learning Interatomic Potentials

akshaytrikha.github.io · published 25 September 2025

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https://github.com/akshaytrikha/materials-scaling
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https://www.linkedin.com/in/eric-weiner-7602b916a/
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https://www.linkedin.com/in/parkszachta/
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https://www.linkedin.com/in/advaitgosai/
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https://www.linkedin.com/in/kyle65463/
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https://arxiv.org/pdf/2306.12059
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https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson.pdf
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https://arxiv.org/pdf/2001.08361
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https://arxiv.org/pdf/1712.00409
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https://arxiv.org/pdf/2210.16859
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https://arxiv.org/pdf/1704.01212
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https://huggingface.co/datasets/facebook/OMAT24
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A Recipe for Training Neural Networks Read at the source ↗
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https://arxiv.org/pdf/2203.15556
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Naturally Occurring Equivariance in Neural Networks Read at the source ↗
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