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Antoine Loew

Observed name: Loew, Antoine
ORCID: 0009-0008-5018-4895
Observed ORCID: 0009-0008-5018-4895
OpenAlex ID: A5105019466
Improving machine-learning models in materials science through large datasets
2024 · Jonathan Schmidt, Tiago F.T. Cerqueira, et al. · Materials Today Physics · 162
Universal machine learning interatomic potentials are ready for phonons
2025 · Antoine Loew, Dewen Sun, et al. · npj Computational Materials · 128
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AI-Driven expansion and application of the Alexandria database
2026 · Théo Cavignac, Jonathan Schmidt, et al. · Journal of Physics Materials · 28
LAMBench: a benchmark for large atomistic models
2026 · Anyang Peng, Chun Cai, et al. · npj Computational Materials · 28
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Accelerating point defect photo-emission calculations with machine learning interatomic potentials
2025 · Kartikeya Sharma, Antoine Loew, et al. · npj Computational Materials · 16
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Universal machine learning potentials for systems with reduced dimensionality
2025 · Giulio Benedini, Antoine Loew, et al. · AI for Science · 10
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Universal machine learning potentials under pressure
2025 · Antoine Loew, Jonathan Schmidt, et al. · Journal of Physics Materials · 6
Training machine learning interatomic potentials for accurate phonon properties
2024 · Antoine Loew, Hai-Chen Wang, et al. · Machine Learning Science and Technology · 3
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Author response for "Universal machine learning potentials under pressure"
2025 · Loew, Antoine, Schmidt, Jonathan, et al. · Publons reviews and discussion · 1
Pressure-transferable universal machine-learning potentials: the WBM-MatPES benchmark and Tuga-FF
2026 · De Breuck, Pierre-Paul, da Silva, Thalis H. B., et al. · arXiv (Cornell University)
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Development and application of machine learning interatomic potentials for predicting complex properties in crystal structures
2026 · Loew, Antoine · Dokumentenrepositorium der RUB (Ruhr University Bochum)
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Works count: 12
Citation count: 382
H-index: 6
I10-index: 6
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