Explore the application of Physics-Informed Neural Networks (PINNs) in solving inverse problems through this informative 30-minute lecture. Gain insights into how PINNs can be leveraged to tackle complex inverse problems in various scientific and engineering domains. Delve into the fundamental concepts, methodologies, and practical implementations of PINNs for inverse problem-solving, presented by experts from NPTEL-NOC IITM.
PINNs for Inverse Problems in Scientific Computing
Overview
Syllabus
PINNs for inverse problems
Taught by
NPTEL-NOC IITM
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