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...

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Bibliographic Details
Main Authors: Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
Format: Article
Language:English
Published: Nature Portfolio 2023-01-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-28328-2