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The Ethereal
Automated Materials Spectroscopy Analysis using Genetic Algorithms
March 18, 2022 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Miu Lun Lau, Min Long, Jeff Terry
arXiv ID
2203.10152
Category
cs.NE: Neural & Evolutionary
Cross-listed
cs.CE
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
We introduce a Genetic Algorithm (GA) based, open-source project to solve multi-objective optimization problems of materials characterization data analysis including EXAFS, XPS and nanoindentation. The modular design and multiple crossover and mutation options make the software extensible for additional materials characterization applications too. This automation of the analysis is crucial in the era when instrumentation acquires data orders of magnitude more rapidly than it can be analyzed by hand. Our results demonstrated good fitness scores with minimal human intervention.
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