Solving differential equations with Physics-informed Neural Network

Approved: Yes
Title: Solving differential equations with Physics-informed Neural Network
Category: Learning
Skill Level:
Beginner (304), Intermediate (305)

Description:
Differential equations, the backbone of countless physical phenomena, have
traditionally been solved using numerical methods or analytical techniques.
However, the advent of deep learning introduces an intriguing alternative:
Physics-Informed Neural Networks (PINNs). By leveraging the representational
power of neural networks and integrating physical laws (like differential
equations), PINNs offer a novel approach to solving complex problems. This
guide walks through an implementation of a PINN to solve DEs such as the
logistic equation.


Link to Resource:
- solving DE with neural networks (https://towardsdatascience.com/solving-differential-equations-with-neural-networks-afdcf7b8bcc4)

Tags:
neural-networks (435)

Domain:
ACCESS CSSN (780), Campus Champions (572), CAREERS (323), CCMNet (835), Great Plains (311), Kentucky (322), Northeast (308)

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