Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm Article Swipe

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Abraham Burleigh , Miu Lun Lau , Megan Burrill , Daniel T. Olive , Jonathan Gigax , Nan Li , Tarik A. Saleh , Frédérique Pellemoine , Sujit Bidhar , Min Long , Kavin Ammigan , Jeff Terry ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.apsusc.2022.155734

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Nanoindentation Isotropy Materials science Algorithm Population Computer science Composite material Physics Optics Demography Sociology

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.apsusc.2022.155734
OA Status: green
Cited By: 10
References: 38
Related Works: 10
OpenAlex ID: https://openalex.org/W4309635341

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DOI: https://doi.org/10.1016/j.apsusc.2022.155734

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Title: Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-11-17

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Authors: Abraham Burleigh, Miu Lun Lau, Megan Burrill, Daniel T. Olive, Jonathan Gigax, Nan Li, Tarik A. Saleh, Frédérique Pellemoine, Sujit Bidhar, Min Long, Kavin Ammigan, Jeff Terry

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Landing page: https://doi.org/10.1016/j.apsusc.2022.155734

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OA URL: https://www.osti.gov/biblio/1915413

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Concepts: Nanoindentation, Isotropy, Materials science, Algorithm, Population, Computer science, Composite material, Physics, Optics, Demography, Sociology

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Cited by: 10

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