Learn how to analyze motion graphs in physics, including position-time and velocity-time graphs. This video explains slopes, areas, and motion behavior to help you clearly interpret real physics ...
The importance of graphs in physics lab experiments. Learn how visual data reveals patterns, relationships, and experimental errors, making results clearer and more meaningful. #PhysicsLab ...
Professor Vu Ha Van, a world-renowned Vietnamese mathematician, has officially joined the University of Hong Kong (HKU) after ...
Abstract: Urban air quality modelling aims at inferring unknown pollution concentrations at specific urban locations. Physical methods derive the partial differential equations (PDEs) that ...
Abstract: Wheeled robot fault diagnosis is indispensable for ensuring its reliable and safe operations. However, two challenges impede the application of prevalent intelligent diagnosis methods. 1) ...
This repository let's you train Graph Neural Networks on meshes (e.g. fluid dynamics, material simulations, etc). We offer a simple training script to: pip install ...
Official Code for the paper "Physics-Informed Graph Neural Networks for Water Distribution Systems". All system and package requirements are listed in the document 'REQUIREMENTS.txt'. The simulation ...
Incorporating structural features into random-graph calculations should bring theoretical models describing the properties and behaviour of complex networks closer to real-world systems. You have full ...