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A. H. Castro Neto

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2024
[i3]
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  dblp key:
  - journals/corr/abs-2411-05033
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  - https://dblp.org/rec/journals/corr/abs-2411-05033
Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale:
Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory. CoRR abs/2411.05033 (2024)
[i2]
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  - journals/corr/abs-2411-06804
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Artem Maevskiy, Alexandra Carvalho, Emil Sataev, Volha Turchyna, Keian Noori, Aleksandr Rodin, A. H. Castro Neto, Andrey Ustyuzhanin:
Predicting ionic conductivity in solids from the machine-learned potential energy landscape. CoRR abs/2411.06804 (2024)
2023
[c1]
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  - conf/iclr/LiLHZVKNNY23
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Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. ICLR 2023
[i1]
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  - journals/corr/abs-2303-00399
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  - https://dblp.org/rec/journals/corr/abs-2303-00399
Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan:
D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. CoRR abs/2303.00399 (2023)

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