Discovering equations that govern experimental materials stability under environmental stress using scientific machine learning
<jats:title>Abstract</jats:title><jats:p>While machine learning (ML) in experimental research has demonstrated impressive predictive capabilities, extracting fungible knowledge representations from experimental data remains an elusive task. In this manuscript, we use ML to infer th...
Main Authors: | , , , , , , |
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Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Springer Science and Business Media LLC
2023
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Online Access: | https://hdl.handle.net/1721.1/150809 |