Підписатись
Luca Torresi
Luca Torresi
PhD candidate, KIT
Підтверджена електронна адреса в kit.edu
Назва
Посилання
Посилання
Рік
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
4592022
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
222023
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
172023
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
122024
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
11*2024
MEGAN: Multi-explanation Graph Attention Network
J Teufel, L Torresi, P Reiser, P Friederich
World Conference on Explainable Artificial Intelligence, 338-360, 2023
52023
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
52022
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
12023
Symmetry-Aware Bayesian Flow Networks for Crystal Generation
L Ruple, L Torresi, H Schopmans, P Friederich
arXiv preprint arXiv:2502.03146, 2025
2025
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