Mingyuan Ge

Brookhaven National Laboratory

National Synchrotron Light Source II
Bldg. 745, Room 107
P.O. Box 5000
Upton, NY 11973-5000

(631) 344-3637
mingyuan@bnl.gov

Expertise | Research | Education | Publications

Expertise

Scanning and Full-field X-ray imaging (XRF, tomography)

Energy storage including lithium ion batteries

Machine learning for scientific imaging application

Research Activities

We are mostly interested in the quantitative analysis of material chemistry using X-ray imaging at different length scales.

• Self-absorption correction in XRF tomography to resolved chemical composition at sub-100 nm resolution
• Method devolopment using machine learning to improve the sensitive of X-ray spectro-imaging (2D/3D XANES)
• In-situ structrue characterization of electrode material for energy storage application

Education

2015, PhD, Material Science, University of Southern California

Selected Publications

• Li Z, Flynn T, Liu T, et al (2024) Highly sensitive 2D X-ray absorption spectroscopy via physics informed machine learning. npj Computational Materials 10:. https://doi.org/10.1038/s41524-024-01313-7
• Huang W, Liu T, Yu L, et al (2024) Unrecoverable lattice rotation governs structural degradation of single-crystalline cathodes. Science 384:912–919. https://doi.org/10.1126/science.ado1675
• Xue Z, Wu F, Ge M, et al (2024) Mesoscale interplay among composition heterogeneity, lattice deformation, and redox stratification in single-crystalline layered oxide cathode. eScience 4:100251. https://doi.org/10.1016/j.esci.2024.100251
• Zhang J, Lee W-K, Ge M (2022) Sub-10 second fly-scan nano-tomography using machine learning. Communications Materials 3:. https://doi.org/10.1038/s43246-022-00313-8
• Ge M, Liu W, Bock DC, et al (2022) X-Ray Induced Chemical Reaction Revealed by In Situ X-Ray Diffraction and Scanning X-Ray Microscopy in 15 nm Resolution. Journal of Electrochemical Energy Conversion and Storage 19:. https://doi.org/10.1115/1.4054952
• Ge M, Huang X, Yan H, et al (2022) Three-dimensional imaging of grain boundaries via quantitative fluorescence X-ray tomography analysis. Communications Materials 3:. https://doi.org/10.1038/s43246-022-00259-x
• Wang F, Yang K, Ge M, et al (2022) Reaction Heterogeneity in LiFePO4 Agglomerates and the Role of Intercalation-Induced Stress. ACS Energy Letters 7:1648–1656. https://doi.org/10.1021/acsenergylett.2c00226
• Ge M, Wi S, Liu X, et al (2021) Kinetic Limitations in Single-Crystal High-Nickel Cathodes. Angewandte Chemie International Edition 60:17350–17355. https://doi.org/10.1002/anie.202012773
• Ge M, Coburn DS, Nazaretski E, et al (2018) One-minute nano-tomography using hard X-ray full-field transmission microscope. Applied Physics Letters 113:. https://doi.org/10.1063/1.5048378
• Zhang J-N, Li Q, Ouyang C, et al (2019) Trace doping of multiple elements enables stable battery cycling of LiCoO2 at 4.6 V. Nature Energy 4:594–603. https://doi.org/10.1038/s41560-019-0409-z
• Liu X, Ronne A, Yu L-C, et al (2021) Formation of three-dimensional bicontinuous structures via molten salt dealloying studied in real-time by in situ synchrotron X-ray nano-tomography. Nature Communications 12:. https://doi.org/10.1038/s41467-021-23598-8
• Yang H, Wu H, Ge M, et al (2019) Simultaneously Dual Modification of Ni-Rich Layered Oxide Cathode for High-Energy Lithium-Ion Batteries. Advanced Functional Materials 29:. https://doi.org/10.1002/adfm.201808825
• Ge M, Rong J, Fang X, et al (2013) Scalable preparation of porous silicon nanoparticles and their application for lithium-ion battery anodes. Nano Research 6:174–181. https://doi.org/10.1007/s12274-013-0293-y
• Ge M, Lu Y, Ercius P, et al (2013) Large-Scale Fabrication, 3D Tomography, and Lithium-Ion Battery Application of Porous Silicon. Nano Letters 14:261–268. https://doi.org/10.1021/nl403923s