Research output per year
Research output per year
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Dive into the research topics where Department of Artificial Intelligence is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Research output
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Analyzing Atomic Interactions in Molecules as Learned by Neural Networks
Esders, M., Schnake, T., Lederer, J., Kabylda, A., Montavon, G., Tkatchenko, A. & Müller, K. R., 2025 Jan 28, In: Journal of Chemical Theory and Computation. 21, 2, p. 714-729 16 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Crash testing machine learning force fields for molecules, materials, and interfaces: model analysis in the TEA Challenge 2023
Poltavsky, 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. & Meuwly, M. & 6 others, , 2025 Feb 10, In: Chemical Science. 16, 8, p. 3720-3737 18 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus) -
Crash testing machine learning force fields for molecules, materials, and interfaces: molecular dynamics in the TEA challenge 2023
Poltavsky, 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. & Meuwly, M. & 6 others, , 2025 Feb 3, In: Chemical Science. 16, 8, p. 3738-3754 17 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus)