physicsinformedneuralnetworks

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

A modular PyTorch framework for developing physics-informed neural network surrogate models for chemical process modeling, simulation, and process systems engineering.

California-Delta estuary salinity estimation by PINN

LATTICE - Large-scale Analysis and Trans-oceanic Transport Intelligence Control Engine

An autonomous watering system was developed using both physical and virtual sensors for the optimisation of water and energy consumption.

QuBiS-HiQ is a physics-informed quantum circuit that encodes SantaLucia nearest-neighbour DNA thermodynamic parameters into gate angles and extracts feature vectors via Pauli-Z expectation values.