This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

A physical modelling library for Python and SuperCollider

Hybrid physical-ML models (source code of "Soil Moisture Forecasting integrating Physical-based Model with Deep Learning", Advanced in Atmospheric Science)

Simulator based on the real physical phenomenons acting in a wildfire, deals with wind, heat capacities..an more.

[KDD 2022] T-Cell Receptor-Peptide Interaction Prediction with Physical Model Augmented Pseudo-Labeling

Implementation of SAMPLE (Spectral Analysis for Modal Parameter Linear Estimate)

A comprehensive simulation platform integrating vehicle dynamics, environment emulation, body controls, and battery management for holistic testing and validation of automated vehicles.

Modelling electrical motor dynamics using neural networks.

!MOVED TO GITLAB.COM! Abstract classes to set up and run a simple numerical model in Python

Applying Machine Learning to Predicting Geyser Eruption Times

Generate realistic reference speed and load trajectories for electrical motor.

Simplistic model of the thrust vector control system of a launch vehicle with propellant tank slosh.

Calculates the form factor coeffcient (F) numerically, for use in determination of material shear moduli

Simple interactive simulation of Total Internal Reflection (TIR) usefull as a teaching resource.