Abstract: A novel meshless electromagnetic (EM) simulation framework based on Physics-Informed Neural Networks (PINNs), enhanced by the integration of Kolmogorov–Arnold Networks (KANs) is presented.
New research from UBC Okanagan mathematically demonstrates that the universe cannot be simulated. Using Gödel’s incompleteness theorem, scientists found that reality requires “non-algorithmic ...
Abstract: The increasing demand for high-speed optical interconnects requires the integration of photonics and electronics, with electro-optic (EO) co-simulation being crucial. However, fragmented ...
A computational physics approach to modeling rigid object motion using spring forces in Python. This focuses on how spring systems can approximate real-world rigid body behavior through numerical ...
A physics-based Python simulation exploring collision behavior in an AstroBlaster system, focusing on momentum transfer, impact modeling, and numerical computation techniques. #PythonPhysics ...
This project was conceived to demonstrate the feasibility of high-fidelity imaging system simulation tools, particularly for consumer hardware products. It aligns with advanced industry workflows ...
This repository implements a full-wave electromagnetic Digital Twin for a planar microstrip antenna array in a cross configuration, specifically designed to rigorously evaluate Direction of Arrival ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results