Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation
2022 · Nature Computational Science · 199 citations
https://doi.org/10.1038/s43588-022-00265-6
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Nianlong Zou is an academic researcher from State Key Laboratory of Low-Dimensional Quantum Physics. The author has contributed to research in topics: Machine Learning in Materials Science & Advanced Graph Neural Networks & 2D Materials and Applications. The author has an h-index of 10, co-authored 30 publications.
ORCID: 0000-0002-8746-8970Papers by this author
worksDeep-learning electronic-structure calculation of magnetic superstructures
2023 · Nature Computational Science · 51 citations
https://doi.org/10.1038/s43588-023-00424-3
Universal materials model of deep-learning density functional theory Hamiltonian
2024 · Science Bulletin · 30 citations
https://doi.org/10.1016/j.scib.2024.06.011
High-pressure synthesis of fully sp2-hybridized polymeric nitrogen layer in potassium supernitride
2023 · Science Bulletin · 19 citations
https://doi.org/10.1016/j.scib.2023.06.029
Chiral superconductivity from spin polarized Chern band in twisted MoTe$_2$
2025 · arXiv (Cornell University) · 0 citations
https://doi.org/10.48550/arxiv.2504.07082
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