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The More Complex, The Deeper: SchNet+ as an Improved Neural Network for Complexity in Quantum Materials
Mingzhe Xuan (University of Science and Technology of China)
Preprints.org preprint
DOI: 10.20944/preprints202504.2066.v1 (Materials Science)
License: CC BY
Abstract: Quantum materials present significant challenges due to their inherent complexity in physical systems. With the rapid development of deep learning, it is accessible to make prediction of the complicated behaviors in quantum materials. This paper proposed a new neural network SchNet+ to better narrate the complexity of systems, which can not be easily solved by traditional mathematical equations.
Published on 24 Apr. 2025