4 Publications
2022 | Journal Article | LibreCat-ID: 33680
Khajehpasha, E. R., Finkler, J. A., Kühne, T., & Ghasemi, A. (2022). CENT2: Improved charge equilibration via neural network technique. Physical Review B, 105(14), Article 144106. https://doi.org/10.1103/physrevb.105.144106
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29700
Ghasemi, A., Mirhosseini, H., & Kühne, T. (2021). Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study. Phys. Chem. Chem. Phys., 23, 6422–6432. https://doi.org/10.1039/D0CP06185A
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33648
Ghasemi, A., & Kühne, T. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics, 154(7), Article 074107. https://doi.org/10.1063/5.0037319
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33657
Mirhosseini, H., Tahmasbi, H., Kuchana, S. R., Ghasemi, A., & Kühne, T. (2021). An automated approach for developing neural network interatomic potentials with FLAME. Computational Materials Science, 197, Article 110567. https://doi.org/10.1016/j.commatsci.2021.110567
LibreCat
| DOI
4 Publications
2022 | Journal Article | LibreCat-ID: 33680
Khajehpasha, E. R., Finkler, J. A., Kühne, T., & Ghasemi, A. (2022). CENT2: Improved charge equilibration via neural network technique. Physical Review B, 105(14), Article 144106. https://doi.org/10.1103/physrevb.105.144106
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29700
Ghasemi, A., Mirhosseini, H., & Kühne, T. (2021). Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study. Phys. Chem. Chem. Phys., 23, 6422–6432. https://doi.org/10.1039/D0CP06185A
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33648
Ghasemi, A., & Kühne, T. (2021). Artificial neural networks for the kinetic energy functional of non-interacting fermions. The Journal of Chemical Physics, 154(7), Article 074107. https://doi.org/10.1063/5.0037319
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33657
Mirhosseini, H., Tahmasbi, H., Kuchana, S. R., Ghasemi, A., & Kühne, T. (2021). An automated approach for developing neural network interatomic potentials with FLAME. Computational Materials Science, 197, Article 110567. https://doi.org/10.1016/j.commatsci.2021.110567
LibreCat
| DOI