Mingda Li

Bio

Education

• PhD, Department of Nuclear Science and Engineering, Massachusetts Institute of Technology, 2015.
• BS, Department of Engineering Physics, Tsinghua University, China, 2009.

Appointment

• Summer researcher, MIT Energy Initiative, 2015.
• Postdoctoral Associate, Department of Mechanical Engineering, MIT, 2015-2017.

Awards

• Junior Bose Award, MIT School of Engineering, 2023
• U.S. Department of Energy (DOE) Early Career Research Program Award, 2021
• Ruth and Joel Spira Award for Distinguished Teaching, MIT School of Engineering, 2021

Research

The research of Mingda and his group is to design novel characterization and computational methods for physical science.

Publications

Selected Publications

NT Hung, R Okabe, A Chotrattanapituk and M Li, “Universal Ensemble-Embedding Graph Neural Network for Direct Prediction of Optical Spectra from Crystal Structures”
Advanced Materials 36, 2409175 (2024)

M Mandal, A Chotrattanapituk, K Woller, LJ Wu, H Xu, NT Hung, N Mao, R Okabe, A Boonkird, T Nguyen, NC Drucker, XM Chen, T Momiki, J Li, J Kong, Y Zhu, and M Li, “Precise Fermi-level engineering in a topological Weyl semimetal via fast ion implantation”
Applied Physics Review 11, 021429 (2024)

R Okabe, A Chotrattanapituk, A Boonkird, N Andrejevic, X Fu, TS Jaakkola, Q Song, T Nguyen, NC Drucker, S Mu, B Liao, Y Cheng, and M Li, “Virtual Node Graph Neural Network for Full Phonon Prediction”
Nature Computational Science 4, 522 (2024)

M Cheng, R Okabe, A Chotrattanapituk and M Li, “Machine Learning Detection of Majorana Zero Modes from Zero Bias Peak Measurements”
Matter 7, 2507 (2024)

R Okabe, S Xue, J Vavrek, J Yu, R Pavlovsky, V Negut, B Quiter, J Cates, T Liu, B Forget, S Jegelka, G Kohse, L-W Hu and M Li, “Tetris-inspired detector with neural network for radiation mapping”
Nature Communications 15, 3061 (2024)

NC Drucker, T Nguyen, F Han, P Siriviboon, X Luo, N Andrejevic, Z Zhu, G Bednik, QT Nguyen, Z Chen, LK Nguyen, T Liu, TJ Williams, MB Stone, AI Kolesnikov, S Chi, J Fernandez-Baca, C Nelson, A Alatas, T Hogan, AA Puretzky, S Huang, Y Yue and M Li “Topology stabilized fluctuations in a magnetic nodal semimetal”
Nature Communications 14, 5182 (2023)

Z Chen, X Shen, N Andrejevic, T Liu, D Luo, T Nguyen, NC Drucker, M Kozina, Q Song, C Hua, G Chen, X Wang, J Kong and M Li
“Panoramic Mapping of Phonon Transport from Ultrafast Electron Diffraction and Machine Learning”
Advanced Materials 35, 2206997 (2023)

N Andrejevic, J Andrejevic, BA Bernevig, N Regnault, F Han, G Fabbris, T Nguyen, NC Drucker, CH Rycroft, and M Li
“Machine Learning Spectral Indicators of Topology”
Advanced Materials 34, 202204113 (2022)

N Andrejevic, Z. Chen, T Nguyen, L Fan, H Heiberger, LJ Zhou, YF Zhao, CZ Chang, A Grutter, and M Li
“Elucidating Proximity Magnetism through Polarized Neutron Reflectometry and Machine Learning”
Appl. Phys. Rev. 9, 011421 (2022)

T Nguyen, N Andrejevic, HC Po, Y Tsurimaki, NC Drucker, A Alatas, EE Alp, BM Leu, A Cunsolo, Y Cai, L Wu, JA Garlow, Y Zhu, H Lu, AC Gossard, AA Puretzky, DB Geohegan, S Huang and M Li
“Signature of Many-Body Localization of Phonons in Strongly Disordered Superlattices”
Nano Lett. 21, 7419 (2021)

Z Chen, N Andrejevic† NC Drucker, T Nguyen, RP Xian, T Smidt, Y Wang, R Ernstorfer, DA Tennant, M Chan, and M Li
“Machine Learning on Neutron and X-Ray Scattering and Spectroscopies”
Chem. Phys. Rev. 2, 031301 (2021)

Z Chen, N. Andrejevic, T Smidt, Z Ding, Q Xu, YT Chi, QT Nguyen, A Alatas, J Kong and M Li
“Direct Prediction of Phonon Density of States with Euclidean Neural Networks”
Advanced Science 8, 2004214 (2021)

F Han, N Andrejevic, T Nguyen, V Kozii, QT Nguyen, T Hogan, Z Ding, R Pablo-Pedro, S Parjan, B Skinner, A Alatas, EE Alp, S Chi, J Fernandez-Baca, S Huang, L Fu and M Li
“Quantized Thermoelectric Hall Effect Induces Giant Power Factor in a Topological Semimetal”
Nature Communications 11, 6167 (2020)

T Nguyen, F Han, N Andrejevic, R Pablo-Pedro, A Apte, Y Tsurimaki, Z Ding, K Zhang, A Alatas, EE Alp, S Chi, J Fernandez-Baca, M Matsuda, DA Tennant, Y Zhao, Z Xu, JW Lynn, S Huang and M Li
“Topological Singularity Induced Chiral Kohn Anomaly in a Weyl Semimetal”
Phys. Rev. Lett. 124, 236401 (2020)

Full list of publications can be found here.

Teaching

22.02 Introduction to Applied Nuclear Physics
22.12 Radiation Interactions, Control, and Measurement
22.042 Modeling with Machine Learning: Nuclear Science and Engineering Applications
22.S902 Quantum Theory of Materials Characterization