Abstract: Synchronous machines are fundamental components. Accurate modelling of nonlinear magnetic saturation characteristics is essential. Traditional models often rely on computationally intensive ...
Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...
The simulation tracks a satellite's surface and internal temperature changes as it orbits Earth, considering varying thermal inputs from sunlight and Earth's shadow. Monte Carlo radiation modeling ...
Oct 11 (Reuters) - Andrew Tulloch, co-founder of Mira Murati's Thinking Machines Lab, has left the AI company to join Meta Platforms (META.O), opens new tab, the Wall Street Journal reported on ...
As semiconductor technologies advance, device structures are becoming increasingly complex. New materials and architectures introduce intricate physical effects requiring accurate modeling to ensure ...
Interfacing Synchronous Machine Model Including Stator Transients With Network for Stability Studies
Abstract: A detailed multi-time scale model of synchronous machines (SM) with stator transients is necessary to capture the complex interactions in inverter-integrated power systems. The conventional ...
The research examines how different key parameters affect the SEIRD epidemic model through MATLAB Simulink simulations. The simulation model includes three scenarios which consist of a standard model ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results