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ORCID"Efficient, Interpretable Atomistic Graph Neural Network Representation for ..."
Tim Hsu et al. (2021)
- Tim Hsu, Nathan Keilbart, Stephen Weitzner, James Chapman, Penghao Xiao, Tuan Anh Pham, S. Roger Qiu, Xiao Chen, Brandon C. Wood:
Efficient, Interpretable Atomistic Graph Neural Network Representation for Angle-dependent Properties and its Application to Optical Spectroscopy Prediction. CoRR abs/2109.11576 (2021)
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