4 Publications
2022 | Journal Article | LibreCat-ID: 33680
E. R. Khajehpasha, J. A. Finkler, T. Kühne, and A. Ghasemi, “CENT2: Improved charge equilibration via neural network technique,” Physical Review B, vol. 105, no. 14, Art. no. 144106, 2022, doi: 10.1103/physrevb.105.144106.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29700
A. Ghasemi, H. Mirhosseini, and T. Kühne, “Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study,” Phys. Chem. Chem. Phys., vol. 23, pp. 6422–6432, 2021, doi: 10.1039/D0CP06185A.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33648
A. Ghasemi and T. Kühne, “Artificial neural networks for the kinetic energy functional of non-interacting fermions,” The Journal of Chemical Physics, vol. 154, no. 7, Art. no. 074107, 2021, doi: 10.1063/5.0037319.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33657
H. Mirhosseini, H. Tahmasbi, S. R. Kuchana, A. Ghasemi, and T. Kühne, “An automated approach for developing neural network interatomic potentials with FLAME,” Computational Materials Science, vol. 197, Art. no. 110567, 2021, doi: 10.1016/j.commatsci.2021.110567.
LibreCat
| DOI
4 Publications
2022 | Journal Article | LibreCat-ID: 33680
E. R. Khajehpasha, J. A. Finkler, T. Kühne, and A. Ghasemi, “CENT2: Improved charge equilibration via neural network technique,” Physical Review B, vol. 105, no. 14, Art. no. 144106, 2022, doi: 10.1103/physrevb.105.144106.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 29700
A. Ghasemi, H. Mirhosseini, and T. Kühne, “Thermodynamically stable polymorphs of nitrogen-rich carbon nitrides: a C3N5 study,” Phys. Chem. Chem. Phys., vol. 23, pp. 6422–6432, 2021, doi: 10.1039/D0CP06185A.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33648
A. Ghasemi and T. Kühne, “Artificial neural networks for the kinetic energy functional of non-interacting fermions,” The Journal of Chemical Physics, vol. 154, no. 7, Art. no. 074107, 2021, doi: 10.1063/5.0037319.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33657
H. Mirhosseini, H. Tahmasbi, S. R. Kuchana, A. Ghasemi, and T. Kühne, “An automated approach for developing neural network interatomic potentials with FLAME,” Computational Materials Science, vol. 197, Art. no. 110567, 2021, doi: 10.1016/j.commatsci.2021.110567.
LibreCat
| DOI