A. H. Castro Neto

According to our database, A. H. Castro Neto authored at least 3 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Predicting ionic conductivity in solids from the machine-learned potential energy landscape.

Artem Maevskiy, Alexandra Carvalho, Emil Sataev, Volha Turchyna, Keian Noori, Aleksandr Rodin, A. H. Castro Neto, Andrey Ustyuzhanin

CoRR, 2024

Diagonalization without Diagonalization: A Direct Optimization Approach for Solid-State Density Functional Theory.

Tianbo Li, Min Lin, Stephen Dale, Zekun Shi, A. H. Castro Neto, Kostya S. Novoselov, Giovanni Vignale

CoRR, 2024

2023

D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory.

Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023