Computational modeling and simulation of nanomaterials strongly complement physical experiments. They enable the prediction of characteristics and processes under conditions difficult to replicate or ...

Using an extensive computer simulation of the climate, the global economy and the global energy system, researchers at Paul Scherrer Institute (PSI) have been analyzing different ways of mitigating ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

How in-house-developed and third-party general-purpose simulation tools are limited to a few expert users and aren’t easily shareable. How multiphysics simulation of subsystems can result in an ...

A team of physicists has designed quantum algorithms that can model one of the most elusive behaviors in nature: a photon flipping its polarization inside an extreme electromagnetic field. The work, ...

Computer Modelling Group has renewed and expanded its software licensing and support agreement with Brazil's largest oil and gas producer, Petroleo Brasileiro.

How simulation software leaders employ machine learning to hyper-accelerate FEA/CFD analysis. Engineers have used machine learning techniques for a long time. Today’s modeling technology empowers ...

Simulation models guide million-dollar inventory decisions, staffing patterns that affect patient care and investment strategies that manage pension funds. Yet many organizations still treat them as ...

Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...