Abstract: Synchronous machines are fundamental components. Accurate modelling of nonlinear magnetic saturation characteristics is essential. Traditional models often rely on computationally intensive ...

David lives in Brooklyn where he's spent more than a decade covering all things edible, including meal kit services, food subscriptions, kitchen tools and cooking tips. David earned his BA from ...

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 ...

Thinking Machines Lab Inc., the artificial intelligence startup led by former OpenAI executive Mira Murati, today introduced its first commercial offering. Tinker is a cloud-based service that ...

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 ...