Dr. Fatma Kocer, VP Engineering Data Science at Altair, says GDL and other techniques will unleash foundational models akin ...

The list of potential applications for a simulation model of the heart is long. Such a model can help further our collective knowledge about the heart and help train doctors and scientists.

Validated by research from Texas A&M University, the model is said to effectively simulate thermal runaway at the battery ...

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

A digital model is employed in simulations and as a digital twin, but those two methods differ in how they’re used, especially when it comes to the level of detail required.

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

The EXPOLIS PM2.5 example uses microenvironment measurement and time–activity data from the EXPOLIS study to model PM2.5 population exposure distributions in four European cities.

Simulation models of business processes help analysts examine business practices in order to improve them. A typical simulation model focuses on a specific aspect of your business, such as ...

Trajectory Simulation Using these data, we developed a simulation model to predict growth trajectories on the basis of individual-level weight and height information.