| Phase transitions in particle physics: Results and perspectives from lattice quantum chromo-dynamics G Aarts, J Aichelin, C Allton, A Athenodorou, D Bachtis, C Bonanno, ... Progress in Particle and Nuclear Physics 133, 104070, 2023 | 83 | 2023 |
| Mapping distinct phase transitions to a neural network D Bachtis, G Aarts, B Lucini Physical Review E 102 (5), 053306, 2020 | 40 | 2020 |
| Quantum field-theoretic machine learning D Bachtis, G Aarts, B Lucini Physical Review D 103 (7), 074510, 2021 | 39 | 2021 |
| Inverse renormalization group in quantum field theory D Bachtis, G Aarts, F Di Renzo, B Lucini Physical Review Letters 128 (8), 081603, 2022 | 31 | 2022 |
| Extending machine learning classification capabilities with histogram reweighting D Bachtis, G Aarts, B Lucini Physical Review E 102 (3), 033303, 2020 | 31 | 2020 |
| Adding machine learning within Hamiltonians: Renormalization group transformations, symmetry breaking and restoration D Bachtis, G Aarts, B Lucini Physical Review Research 3 (1), 013134, 2021 | 18 | 2021 |
| Quantum field theories, Markov random fields and machine learning D Bachtis, G Aarts, B Lucini Journal of Physics: Conference Series 2207 (1), 012056, 2022 | 7 | 2022 |
| Reducing finite-size effects with reweighted renormalization group transformations D Bachtis Physical Review E 109 (1), 014125, 2024 | 5 | 2024 |
| Overlap renormalization group transformations for disordered systems D Bachtis Journal of Physics A: Mathematical and Theoretical 57 (23), 235003, 2024 | 3 | 2024 |
| Cascade of phase transitions in the training of Energy-based models D Bachtis, G Biroli, A Decelle, B Seoane arXiv preprint arXiv:2405.14689, 2024 | 3 | 2024 |
| Interpreting machine learning functions as physical observables G Aarts, D Bachtis, B Lucini arXiv preprint arXiv:2109.08497, 2021 | 3 | 2021 |
| Machine learning with quantum field theories D Bachtis, G Aarts, B Lucini arXiv preprint arXiv:2109.07730, 2021 | 3 | 2021 |
| Inverse renormalization group of spin glasses D Bachtis Physical Review B 110 (14), L140202, 2024 | 1 | 2024 |
| Lattice field theory as a multi-agent system of financial markets D Bachtis arXiv preprint arXiv:2411.15813, 2024 | | 2024 |
| Disordered Lattice Glass Quantum Field Theory D Bachtis arXiv preprint arXiv:2407.06569, 2024 | | 2024 |
| Generating configurations of increasing lattice size with machine learning and the inverse renormalization group D Bachtis arXiv preprint arXiv:2405.16288, 2024 | | 2024 |
| Quantum field-theoretic machine learning and the renormalization group DS Bachtis Swansea University, 2022 | | 2022 |
| Una conexión inesperada entre la física de partículas y la inteligencia artificial D Bachtis Investigación y ciencia, 2021 | | 2021 |
Biagio LuciniProfessor of PhysicsVerified email at swansea.ac.uk
