Computational Physics Projects
Explore guided student projects in Computational Physics. Build hands-on skills with real aerospace tools and data.
2 projects
Combine with other filters →Solve the Heat Equation with a PINN
Use a neural network to simulate how heat flows through a spacecraft wall.
Use DeepXDE, a Python library for physics-informed neural networks, to solve the 1D heat equation without writing a traditional finite-element solver. Learn how PINNs are changing the way engineers approach thermal analysis in aerospace.
Start Project → AI/MLSolve Burgers Equation with PhysicsNeMo
Train a neural network to satisfy a PDE — no simulation mesh required.
Use NVIDIA PhysicsNeMo to build a Physics-Informed Neural Network (PINN) that solves the 1D viscous Burgers equation, a canonical nonlinear PDE capturing shock formation. You will set up collocation training, enforce boundary and initial conditions as soft constraints, and compare PINN solutions against a finite-difference reference.
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