Deep Learning for Automated Quantification of Irradiation Defects in TEM Data: Relating Pixel-level Errors to Defect Properties

Affiliations

• ¹ Department of Materials Science and Engineering, University of Connecticut, Storrs, CT, USA.
• ² Department of Computer Science and Engineering, University of Connecticut, Storrs, CT, USA.
• ³ Nuclear Science and Engineering Division, Argonne National Laboratory, Lemont, IL, USA.
• ⁴ Computer Science Department, Western Washington University, Bellingham, WA, USA.
• ⁵ National Security Directorate, AI and Data Analytics Division, Pacific Northwest National Laboratory, Richland, WA, USA.
• ⁶ Energy and Environment Directorate, Nuclear Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.