A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Abstract Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational framework called Scientist-Machine Equation Detector (SciMED), which integrates scientific discipline wisdom in a...
Main Authors: | Liron Simon Keren, Alex Liberzon, Teddy Lazebnik |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-01-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-28328-2 |
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