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Antoine Loew
Competences
machine learning
spectroscopy
Raman spectra
- A. Loew, J. Schmidt, S. Botti, M. Marques
Universal machine learning potentials under pressure. Journal of Physics: Materials, 9, 015010, (2026) - A. Peng, C. Cai, M. Guo, D. Zhang, et al.
LAMBench: a benchmark for large atomistic models. npj Computational Materials, 12, 62, (2026) - G. Benedini, A. Loew, M. Hellström, S. Botti, M. Marques
Universal machine learning potentials for systems with reduced dimensionality. AI for Science, 1, 025005, (2025) - K. Sharma, A. Loew, H. Wang, F. Nilsson, et al.
Accelerating point defect photo-emission calculations with machine learning interatomic potentials. npj Computational Materials, 11, 334, (2025) - A. Loew, H. Wang, T. Cerqueira, M. Marques
Training machine learning interatomic potentials for accurate phonon properties. Machine Learning: Science and Technology, 5, 045019, (2024) - J. Schmidt, T. Cerqueira, A. Romero, A. Loew, et al.
Improving machine-learning models in materials science through large datasets. Materials Today Physics, 48, 101560, (2024)