Interpretable Physics-informed Machine Learning Methods for Scientific Modeling and Data Analysis

With the recent advancement of modern machine learning methods, there are now many exciting opportunities to use machine learning in scientific research, including for modeling and data analysis. Machine learning has the potential to become an indispensable tool for scientific discovery, but it is o...

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Bibliographic Details
Main Author: Lu, Peter Yucheng
Other Authors: Soljačić, Marin
Format: Thesis
Published: Massachusetts Institute of Technology 2023
Online Access:https://hdl.handle.net/1721.1/150769