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Physics Informed Machine Learning Models for PDEs with Applications to Laser Bioeffects
Title
Physics Informed Machine Learning Models for PDEs with Applications to Laser Bioeffects
Author
Seman, Matthew
Date Created
2023
Subjects--Topical
Artificial intelligence, Physics
Description
Recently, advances in the efficiency of gradient calculation algorithms have sparked anexpansion of neural network applications, particularly in the field of approximating partial differential equation (PDE) solutions. Among the most novel and eff...