One-component order parameter in URu2 Si2 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 Cd2 Re2 O7 R Osborn, EA Kim, M Krogstad, S Rosenkranz, J Venderley, M Matty, ...
APS March Meeting Abstracts 2021, E54. 003, 2021
2021