| Machine learning on neutron and x-ray scattering and spectroscopies Z Chen, N Andrejevic, NC Drucker, T Nguyen, RP Xian, T Smidt, Y Wang, ... Chemical Physics Reviews 2 (3), 2021 | 109 | 2021 |
| Direct prediction of phonon density of states with Euclidean neural networks Z Chen, N Andrejevic, T Smidt, Z Ding, Q Xu, YT Chi, QT Nguyen, A Alatas, ... Advanced Science 8 (12), 2004214, 2021 | 95 | 2021 |
| Volume-controlled cavity expansion for probing of local elastic properties in soft materials S Raayai-Ardakani, Z Chen, DR Earl, T Cohen Soft matter 15 (3), 381-392, 2019 | 49 | 2019 |
| Unraveling the Correlation between Raman and Photoluminescence in Monolayer MoS2 through Machine‐Learning Models AY Lu, LGP Martins, PC Shen, Z Chen, JH Park, M Xue, J Han, N Mao, ... Advanced Materials 34 (34), 2202911, 2022 | 32 | 2022 |
| Influence of initial imperfections on ultimate strength of spherical shells CL Yu, ZT Chen, C Chen, Y Chen International journal of naval architecture and ocean engineering 9 (5), 473-483, 2017 | 31 | 2017 |
| Elucidating proximity magnetism through polarized neutron reflectometry and machine learning N Andrejevic, Z Chen, T Nguyen, L Fan, H Heiberger, LJ Zhou, YF Zhao, ... Applied Physics Reviews 9 (1), 2022 | 21 | 2022 |
| Machine learning magnetism classifiers from atomic coordinates HA Merker, H Heiberger, L Nguyen, T Liu, Z Chen, N Andrejevic, ... Iscience 25 (10), 2022 | 15 | 2022 |
| Capturing dynamical correlations using implicit neural representations SR Chitturi, Z Ji, AN Petsch, C Peng, Z Chen, R Plumley, M Dunne, ... Nature Communications 14 (1), 5852, 2023 | 13 | 2023 |
| Topology stabilized fluctuations in a magnetic nodal semimetal NC Drucker, T Nguyen, F Han, P Siriviboon, X Luo, N Andrejevic, Z Zhu, ... Nature communications 14 (1), 5182, 2023 | 7 | 2023 |
| Panoramic mapping of phonon transport from ultrafast electron diffraction and scientific machine learning Z Chen, X Shen, N Andrejevic, T Liu, D Luo, T Nguyen, NC Drucker, ... Advanced Materials 35 (2), 2206997, 2023 | 6* | 2023 |
| Bayesian experimental design and parameter estimation for ultrafast spin dynamics Z Chen, C Peng, AN Petsch, SR Chitturi, A Okullo, S Chowdhury, ... Machine Learning: Science and Technology 4 (4), 045056, 2023 | 3* | 2023 |
| Challenges and opportunities of machine learning on neutron and X-ray scattering NC Drucker, T Liu, Z Chen, R Okabe, A Chotrattanapituk, T Nguyen, ... Synchrotron Radiation News 35 (4), 16-20, 2022 | 3 | 2022 |
| Machine Learning: Direct Prediction of Phonon Density of States With Euclidean Neural Networks (Adv. Sci. 12/2021) Z Chen, N Andrejevic, T Smidt, Z Ding, Q Xu, YT Chi, QT Nguyen, A Alatas, ... Advanced Science 8 (12), 2170068, 2021 | 3 | 2021 |
| Self-supervised generative models for crystal structures F Liu, Z Chen, T Liu, R Song, Y Lin, JJ Turner, C Jia Iscience 27 (9), 2024 | 1 | 2024 |
| From a thin membrane to an unbounded solid: dynamics and instabilities in radial motion of nonlinearly viscoelastic spheres Z Chen Massachusetts Institute of Technology, 2018 | 1 | 2018 |
| Implicit neural representations for experimental steering of advanced experiments Z Chen, AN Petsch, Z Ji, SR Chitturi, C Peng, C Jia, AI Kolesnikov, ... Cell Reports Physical Science 6 (1), 2025 | | 2025 |
| On ultrafast x-ray scattering methods for magnetism R Plumley, SR Chitturi, C Peng, TA Assefa, N Burdet, L Shen, Z Chen, ... Advances in Physics: X 9 (1), 2423935, 2024 | | 2024 |
| Massive Scale Data Analytics at LCLS-II J Thayer, Z Chen, R Claus, D Damiani, C Ford, M Dubrovin, V Elmir, ... EPJ Web of Conferences 295, 13002, 2024 | | 2024 |
| Augmenting x-ray single particle imaging reconstruction with self-supervised machine learning Z Chen, C Wang, M Gao, CH Yoon, JB Thayer, JJ Turner arXiv preprint arXiv:2311.16652, 2023 | | 2023 |
| Machine Learning for Phonon Thermal Transport Z Chen Massachusetts Institute of Technology, 2022 | | 2022 |
Mingda LiClass of 1947 Career Development Professor, MITPotvrđena adresa e-pošte na mit.edu
