| Graph neural networks for materials science and chemistry P Reiser, M Neubert, A Eberhard, L Torresi, C Zhou, C Shao, H Metni, ... Communications Materials 3 (1), 93, 2022 | 458 | 2022 |
| What is missing in autonomous discovery: Open challenges for the community PM Maffettone, P Friederich, SG Baird, B Blaiszik, KA Brown, SI Campbell, ... Digital Discovery 2 (6), 1644-1659, 2023 | 22 | 2023 |
| Integrated system built for small-molecule semiconductors via high-throughput approaches J Wu, J Zhang, M Hu, P Reiser, L Torresi, P Friederich, L Lahn, O Kasian, ... Journal of the American Chemical Society 145 (30), 16517-16525, 2023 | 17 | 2023 |
| Navigating the unknown with AI: multiobjective Bayesian optimization of non-noble acidic OER catalysts KJ Jenewein, L Torresi, N Haghmoradi, A Kormányos, P Friederich, ... Journal of Materials Chemistry A 12 (5), 3072-3083, 2024 | 12 | 2024 |
| Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells J Wu, L Torresi, MM Hu, P Reiser, J Zhang, JS Rocha-Ortiz, L Wang, Z Xie, ... Science 386 (6727), 1256-1264, 2024 | 9* | 2024 |
| MEGAN: Multi-explanation Graph Attention Network J Teufel, L Torresi, P Reiser, P Friederich World Conference on Explainable Artificial Intelligence, 338-360, 2023 | 5 | 2023 |
| Tau Lepton Identification With Graph Neural Networks at Future Electron–Positron Colliders S Giagu, L Torresi, M Di Filippo Frontiers in Physics 10, 909205, 2022 | 5 | 2022 |
| Quantifying the Intrinsic Usefulness of Attributional Explanations for Graph Neural Networks with Artificial Simulatability Studies J Teufel, L Torresi, P Friederich World Conference on Explainable Artificial Intelligence, 361-381, 2023 | 1 | 2023 |
| Symmetry-Aware Bayesian Flow Networks for Crystal Generation L Ruple, L Torresi, H Schopmans, P Friederich arXiv preprint arXiv:2502.03146, 2025 | | 2025 |
Pascal FriederichKarlsruhe Institute of TechnologyPotvrđena adresa e-pošte na kit.edu