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Source Code - 2D Multi-Modal Data Fusion for Electron Microscopy

Imaging atomic-scale chemistry from fused multi-modal electron microscopy

Jonathan Schwartz1, Zichao Wendy Di2, Yi Jiang3, Alyssa Fielitz4, Don-Hyung Ha5,6, Sanjaya D. Perera5, Ismail El Baggari7,8, Richard D. Robinson5, Jeffery A. Fessler9, Colin Ophus10, Steve Rozeveld4, Robert Hovden1,11†

1Department of Materials Science and Engineering, University of Michigan, Ann Arbor, MI.
2Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL.
3Advanced Photon Source Facility, Argonne National Laboratory, Lemont, IL.
4Dow Chemical Co., Midland, MI.
5Department of Material Science and Engineering, Cornell University, Ithaca, New York.
6School of Integrative Engineering, Chung-Ang University, Seoul, Republic of Korea.
7Department of Physics, Cornell University, Ithaca, NY.
8The Rowland Institute at Harvard, Cambridge, MA.
9Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI.
10National Center for Electron Microscopy, Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA.
11Applied Physics Program, University of Michigan, Ann Arbor, MI.
†Correspondence and requests for materials should be addressed to R.H. ([email protected]).

If you use any of the data and source codes in your publications and/or presentations, we request that you cite our paper: J. Schwartz, Z.W. Di, et. al., "Imaging atomic-scale chemistry from fused multi-modal electron microscopy", npj Comput. Mater. 8, 16 (2022).

Installation

To clone the repositiory run:

git clone --recursive https://github.com/jtschwar/Multi-Modal-2D-Data-Fusion.git

Compile the regularization C++ scripts prior to running the example jupyter notebook.