Machine learning techniques for data analysis in materials science

已完结 10 由学渣爱看文献发布于 2026/7/13 11:55:17

DOI:10.23919/AEIT56783.2022.9951839
作者：Claudio Ronchetti, Marco Puccini, S. Ferlito, S. Giusepponi, Filippo Palombi, F. Buonocore, M. Celino
文献类型：期刊论文
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Institute of Electrical and Electronics Engineers (IEEE)

Abstract：This work applies Graph Neural Networks (GNNs), a class of deep learning methods, to predict physical properties and obtain optimal cathode materials for batteries. Two GNNs are selected: Cr

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