Reconstruction of simulated electrostatic potentials by automatic differentiation-based phase retrieval in electron microscopy imaging

Journal Article · 10 August 2023 · MRS communications

DOI: https://doi.org/10.1557/s43579-023-00420-8 · OSTI ID:1996494

Carr, Connor G.  ^[1]; Zhou, Tao ^[2]; Cherukara, Mathew ^[2]; Phatak, Charudatta ^[2]; Haile, Sossina M.  ^[3]

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1. Northwestern University, Evanston, IL (United States); Northwestern University
2. Argonne National Laboratory (ANL), Argonne, IL (United States)
3. Northwestern University, Evanston, IL (United States)

Measuring interfacial electrostatic potentials is vital to understanding many fundamental materials properties. A variety of TEM methods exist for measuring electric potentials from the phase shift produced on an electron wave as it passes through a sample. However, most are either experimentally challenging or poorly suited to resolving nanoscale features. Here, we demonstrate the viability of a simple, automatic differentiation-based exit wave reconstruction from a focal series of images to accurately measure nanoscale electric potentials. Here, the analysis suggests that under optimal measurement conditions, electric potentials can be resolved to less than 0.06 V in magnitude and less than 1 nm in spatial extent.

• Research Organization: Northwestern University, Evanston, IL (United States)
• Sponsoring Organization: Division of Materials Research; USDOE Office of Science (SC), Basic Energy Sciences (BES)
• Grant/Contract Number: AC02-06CH11357; SC0023438
• OSTI ID: 1996494
• Journal Information: MRS communications, Journal Name: MRS communications Journal Issue: 5 Vol. 13; ISSN 2159-6867
• Publisher: Springer NatureCopyright Statement
• Country of Publication: United States
• Language: English