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KABYLDA Adil

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS)

ORCID
0000-0002-8620-6135
Main Referenced Co-authors
POLTAVSKYI, Igor  (3)
TKATCHENKO, Alexandre  (3)
Batatia, Ilyes (2)
Browning, Nicholas J (2)
CHARKIN-GORBULIN, Anton  (2)
Main Referenced Keywords
Chemistry (all) (2); Crash testing (2); Forcefields (2); Machine-learning (2); Testing machine (2);
Main Referenced Unit & Research Centers
ULHPC - University of Luxembourg: High Performance Computing (1)
Main Referenced Disciplines
Chemistry (2)
Physics (2)

Publications (total 4)

The most downloaded
124 downloads
TKATCHENKO, A., KABYLDA, A., POLTAVSKYI, I., Vassilev-Galindo Valentin, & Chmiela Stefan. (2023). Efficient interatomic descriptors for accurate machine learning force fields of extended molecules. Nature Communications. doi:10.1038/s41467-023-39214-w https://hdl.handle.net/10993/55728

The most cited

38 citations (OpenAlex)

TKATCHENKO, A., KABYLDA, A., POLTAVSKYI, I., Vassilev-Galindo Valentin, & Chmiela Stefan. (2023). Efficient interatomic descriptors for accurate machine learning force fields of extended molecules. Nature Communications. doi:10.1038/s41467-023-39214-w https://hdl.handle.net/10993/55728

KABYLDA, A. (2026). General-Purpose Machine Learning Force Fields for (Bio)Molecular Simulations [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/67501

POLTAVSKYI, I., CHARKIN-GORBULIN, A., PULEVA, M., Fonseca, G., Batatia, I., Browning, N. J., Chmiela, S., Cui, M., Frank, J. T., Heinen, S., Huang, B., Käser, S., KABYLDA, A., Khan, D., Müller, C., Price, A. J. A., Riedmiller, K., Töpfer, K., Ko, T. W., ... TKATCHENKO, A. (19 February 2025). Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023. Chemical Science, 16 (8), 3720 - 3737. doi:10.1039/d4sc06529h
Peer Reviewed verified by ORBi

POLTAVSKYI, I., PULEVA, M., CHARKIN-GORBULIN, A., Fonseca, G., Batatia, I., Browning, N. J., Chmiela, S., Cui, M., Frank, J. T., Heinen, S., Huang, B., Käser, S., KABYLDA, A., Khan, D., Müller, C., Price, A. J. A., Riedmiller, K., Töpfer, K., Ko, T. W., ... TKATCHENKO, A. (19 February 2025). Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023. Chemical Science, 16 (8), 3738 - 3754. doi:10.1039/d4sc06530a
Peer Reviewed verified by ORBi

TKATCHENKO, A., KABYLDA, A., POLTAVSKYI, I., Vassilev-Galindo Valentin, & Chmiela Stefan. (2023). Efficient interatomic descriptors for accurate machine learning force fields of extended molecules. Nature Communications. doi:10.1038/s41467-023-39214-w
Peer Reviewed verified by ORBi

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