Maximizing Neural Net Generalizability and Transfer Learning Success for Transmission Electron Microscopy Image Analysis in the Face of Small Experimental Datasets
Source abstract
Abstract
Katherine Sytwu, Luis Rangel DaCosta, Catherine Groschner, Mary C Scott; Maximizing Neural Net Generalizability and Transfer Learning Success for Transmiss
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Advanced Electron Microscopy Techniques and Applications · Electron and X-Ray Spectroscopy Techniques · Machine Learning in Materials Science
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Lawrence Berkeley National Lab Molecular Foundry, , Berkeley, CA, USA
University of California, Berkeley Department of Materials Science and Engineering, , Berkeley, CA, USA
References (5)
Show source-provided references
1. Ruoqian · Scientific reports · 2021 · 11 · 110.1038/s41598-020-79139-8 ↗
2. Manzorro · Microscopy and Microanalysis · 2021 · 27 · 46410.1017/S1431927621002154 ↗
3. Khan · Bulletin of the American Physical Society · 2020 · 65
4. Groschner · Microscopy and Microanalysis · 2021 · 27 · 54910.1017/S1431927621000386 ↗
5. Rangel DaCosta · Micron · 2021 · 151 · 10314110.1016/j.micron.2021.103141 ↗