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Multi-task parallelism for robust pre-training of graph foundation models on multi-source, multi-fidelity atomistic modeling data

Fuente: arXiv

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Bibliographic Details
Main Authors:	Pasini, Massimiliano Lupo, Choi, Jong Youl, Zhang, Pei, Mehta, Kshitij, Weaver, Rylie, Aji, Ashwin M., Schulz, Karl W., Polo, Jorda, Balaprakash, Prasanna
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Materials Science Artificial Intelligence Atomic and Molecular Clusters 68T07, 68T09 I.2; I.2.5; I.2.11
Online Access:	Acceder al recurso
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