A reproducibility learn about of atomistic line graph neural networks for fabrics assets prediction

Digital Discovery, 2024, Accepted Manuscript
DOI: 10.1039/D4DD00064A, Paper

Open Access

&nbsp This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence.

Kangming Li, Brian DeCost, Kamal Choudhary, Jason Hattrick-Simpers
Use of machine learning has been increasingly popular in materials science as data-driven materials discovery is becoming the new paradigm. Reproducibility of findings is paramount for promoting transparency and accountability…
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