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 Ha^5,6, Sanjaya D. Perera⁵, Ismail El Baggari^7,8, Richard D. Robinson⁵, Jeffery A. Fessler⁹, Colin Ophus¹⁰, Steve Rozeveld⁴, Robert Hovden^1,11†

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.