AI-driven operator learning models like Fourier Neural Operator and DeepONet are redefining simulation speed, producing results in seconds instead of hours. Coupled with automation tools such as ...

Physics simulations have a problem—engineers who need those simulations’ results often don’t have time to wait. Add in real-world settings with multiple independent calculations required (for example, ...

Mississippi State-Meridian MSN student Logan Stirewalt is fitted with eye-tracking glasses before a labor and delivery simulation at the university’s Interprofessional Simulation Center. Industrial ...

AI-powered physics simulations are speeding up design cycles, cutting costs, and enabling more creative engineering solutions. By combining traditional multiphysics modeling with machine learning, ...

Hexagon’s Manufacturing Intelligence division has announced the release of ODYSSEE A-Eye, a new artificial intelligence (AI) tool that enhances Computer-Aided Engineering (CAE) for a multitude of ...

Engineering teams using AI create significantly more design variants, accelerating innovation and competitive advantage.

Professor Emeritus John Falconer earned the Thomas and Donna Edgar CACHE Award for Excellence in Chemical Engineering Education for 2021, a recognition for leading the development of online ...

Rapid growth in the use of engineering simulation tools – and in the demand for high performance computing (HPC) – is driving interest in cloud computing. Using the cloud for simulation presents ...

Scientists have developed a new method and software for using computer game technology for complex scientific and engineering simulations. A PhD student at The University of Manchester has developed a ...

Semiconductor engineering teams have long relied on an iterative simulation workflow: define the scenario, prepare the model, ...