Students' Seminar
Speaker: Harshita Agarwal, IIT Bombay
Host: Suman Kumar Sahoo
Title: Physics-Informed Neural Networks: A mathematical Introduction|
Time, day and date: 4:00:00 PM – 5:00:00 PM, Friday, October 16
Venue: Ramanujan Hall (https://meet.google.com/aon-mshf-ovk)
Abstract: Neural networks are usually trained using only examples. But often we also know a simple mathematical rule the answer should follow — even when we don't have much data to work with. This talk introduces Physics-Informed Neural Networks (PINNs): a simple way to teach a network to respect such a rule, using nothing more than ideas we already know — the chain rule and gradient descent. We'll build the idea step by step, from how a basic network learns, to how it can check a rule exactly, and finally see it all come together on one simple example. No physics or PDE background is needed; the talk stays friendly and non-technical throughout, explained through pictures and one running example rather than long derivations.