In an era where artificial intelligence, autonomous vehicles, and high-performance computing push the boundaries of ...

Probability and Statistics Group research at the School of Mathematical and Computer Sciences at Heriot-Watt University, Edinburgh.

Gaussian Mixture Models (GMM) are an effective representation of resource uncertainty in power systems planning, as they can be tractably incorporated within stochastic optimization models. However, ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin has ...

Diffusion models are widely used in many AI applications, but research on efficient inference-time scalability, particularly ...

ROHM has announced the release of new Level 3 (L3) SPICE models that deliver significantly improved convergence and faster simulation performance.

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

Innovation requires information, context, collaboration, experimentation, and even failure. Using simulation to make ...

CGSchNet, a fast machine-learned model, simulates proteins with high accuracy, enabling drug discovery and protein ...

This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software works. Topics include discrete-event systems; entities, resources, control ...