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Bringing Atomistic Deep Learning to Prime Time

Machine Learning 2021-12-10 v1 Materials Science Chemical Physics

Abstract

Artificial intelligence has not yet revolutionized the design of materials and molecules. In this perspective, we identify four barriers preventing the integration of atomistic deep learning, molecular science, and high-performance computing. We outline focused research efforts to address the opportunities presented by these challenges.

Cite

@article{arxiv.2112.04977,
  title  = {Bringing Atomistic Deep Learning to Prime Time},
  author = {Nathan C. Frey and Siddharth Samsi and Bharath Ramsundar and Connor W. Coley and Vijay Gadepally},
  journal= {arXiv preprint arXiv:2112.04977},
  year   = {2021}
}

Comments

6 pages, 1 figure, NeurIPS 2021 AI for Science workshop

R2 v1 2026-06-24T08:10:53.110Z