| One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning S Ghosh, M Matty, R Baumbach, ED Bauer, KA Modic, A Shekhter, ... Science advances 6 (10), eaaz4074, 2020 | 38 | 2020 |
| Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction J Venderley, K Mallayya, M Matty, M Krogstad, J Ruff, G Pleiss, V Kishore, ... Proceedings of the National Academy of Sciences 119 (24), e2109665119, 2022 | 30 | 2022 |
| Magnetic fluctuations in individual superparamagnetic particles SK Piotrowski, MF Matty, SA Majetich IEEE Transactions on Magnetics 50 (11), 1-4, 2014 | 29 | 2014 |
| Melting of generalized Wigner crystals in transition metal dichalcogenide heterobilayer Moiré systems M Matty, EA Kim Nature Communications 13 (1), 7098, 2022 | 20 | 2022 |
| Comparison of canonical and microcanonical definitions of entropy M Matty, L Lancaster, W Griffin, RH Swendsen Physica A: Statistical Mechanics and its Applications 467, 474-489, 2017 | 18 | 2017 |
| Multifaceted machine learning of competing orders in disordered interacting systems M Matty, Y Zhang, Z Papić, EA Kim Physical Review B 100 (15), 155141, 2019 | 14 | 2019 |
| Finite thermal reservoirs and the canonical distribution W Griffin, M Matty, RH Swendsen Physica A: Statistical Mechanics and its Applications 484, 1-10, 2017 | 5 | 2017 |
| Unsupervised machine learning of single crystal x-ray diffraction data J Venderley, M Matty, EA Kim APS March Meeting Abstracts 2019, A18. 001, 2019 | 4 | 2019 |
| Entanglement clustering for ground-stateable quantum many-body states M Matty, Y Zhang, T Senthil, EA Kim Physical Review Research 3 (2), 023212, 2021 | 3 | 2021 |
| Singlecomponent order parameter in uru 2 si 2 uncovered by resonant ultrasound spectroscopy and machine learning S Ghosh, M Matty, R Baumbach, ED Bauer, KA Modic, A Shekhter, ... arXiv preprint arXiv:1903.00552, 2019 | 3 | 2019 |
| Machine Learning for Phase Retrieval from 4D-STEM Data M Cao, M Matty, Z Chen, L Li, EA Kim, D Muller Microscopy and Microanalysis 26 (S2), 8-9, 2020 | 2 | 2020 |
| Elastic properties of hidden order in are reproduced by a staggered nematic J Kent-Dobias, M Matty, BJ Ramshaw Physical Review B 102 (7), 075129, 2020 | 1 | 2020 |
| Cluster simulations of multi-spin Potts models M Matty, P Mansfield, K Hallinen, J Albert, RH Swendsen Journal of Statistical Mechanics: Theory and Experiment 2015 (1), P01026, 2015 | 1 | 2015 |
| Author Correction: Melting of generalized Wigner crystals in transition metal dichalcogenide heterobilayer Moiré systems M Matty, EA Kim nature communications 14, 2023 | | 2023 |
| Machine Learning and Monte Carlo Studies of Strongly Correlated Systems MF Matty Cornell University, 2022 | | 2022 |
| Bragg glass signatures in the disordered charge density wave material PdxErTe3 from X-ray diffraction data using unsupervised machine learning K Mallayya, M Matty, J Straquadine, M Krogstad, M Bachmann, A Singh, ... APS March Meeting Abstracts 2022, T47. 004, 2022 | | 2022 |
| Transferable Machine Learning for Four-Dimensional Scanning Transmission Electron Microscopy Data M Matty, M Cao, Z Chen, L Li, D Muller, EA Kim APS March Meeting Abstracts 2022, W47. 010, 2022 | | 2022 |
| Harnessing Interpretable and Unsupervised Machine Learning to Address Big Data from Modern X-ray Diffraction EA Kim, J Venderley, M Matty, K Mallayya, M Krogstad, J Ruff, G Pleiss, ... | | 2021 |
| Electronic nematicity in a transition metal dichalcogenide heterobilayer Moire system M Matty, S Kivelson, EA Kim APS March Meeting Abstracts 2021, J42. 010, 2021 | | 2021 |
| Machine Learning Analysis of Structural Order and Goldstone-Mode Fluctuations in Cd2Re2O7 R Osborn, EA Kim, M Krogstad, S Rosenkranz, J Venderley, M Matty, ... APS March Meeting Abstracts 2021, E54. 003, 2021 | | 2021 |
