PINA and heat-pinn
PINA is a general-purpose physics-informed neural network framework that could be used to implement the specific 2D steady-state heat equation solver that heat-pinn demonstrates, making them complements where heat-pinn serves as a reference implementation or application of PINA's capabilities.
About PINA
mathLab/PINA
Physics-Informed Neural networks for Advanced modeling
This tool helps scientists and engineers build predictive models that adhere to known physical laws or integrate with existing data. You input your scientific problem, including any governing equations or experimental data, and it outputs a trained neural network that can simulate complex systems or make predictions while respecting physics. It's designed for researchers, computational scientists, and anyone working with scientific data and simulations.
About heat-pinn
314arhaam/heat-pinn
A Physics-Informed Neural Network to solve 2D steady-state heat equations.
This project helps engineers and researchers model how heat distributes across a 2D surface. You input boundary conditions for temperature (e.g., specific temperatures at edges), and it outputs a prediction of the temperature across the entire area. It's designed for professionals in thermal engineering, materials science, or physics who need to understand heat transfer without complex experimental setups or traditional numerical methods.
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