Researchers have launched a new open-source MATLAB toolbox that generates synthetic networks with built-in vital nodes, providing a standardized ...

Last month, David M. Nicol received a “Test of Time” award at the 39th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS) for a 2005 paper he co-wrote with some then postdocs ...

Simulation technology is increasingly being used within the automotive space, saving time, money and allowing for simulated repeats of real-world scenarios.

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling ...

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

Training datasets for Matlantis’ core AI technology are now developed using r2SCAN, doubling accuracy in atomistic ...

Matlantis Inc., the U.S. hub of the materials-discovery arm of Japan’s leading AI company Preferred Networks, Inc. (PFN), today announced a major update to its Matlantis™ universal atomistic simulator ...

Grid-connected photovoltaic (PV) systems are crucial to modern renewable energy strategies, but various types of faults can significantly impact their performance. Understanding the behavior of these ...