REDSTONE ARSENAL, Ala. — When could a computer simulation substitute for a wind tunnel or flight test? It is the hot topic today in research and development circles. And there are many spirited ...

Modelling and simulation form a pivotal discipline in which real‐world systems are abstracted into mathematical and computational representations. This process enables researchers to explore, predict ...

The Department of the Air Force is seeking industry offers for modeling and simulation support services under the Air Force Modeling and Simulation Support Services, or AFMS3, 3.0 contract. According ...

This concentration is intended to prepare students for modeling and simulating various problems related to supply chain management, such as procurement, manufacturing, logistics and distribution, ...

Monte Carlo simulations predict investment risks and returns using computer models. They enable investors to assess outcomes under various market conditions. Accessible tools like online calculators ...

Microsoft has formed partnerships with BAE Systems and other firms in recent months to help enhance the Defense Department’s goals for gaming, exercising, modeling and simulation—or GEMS—according to ...

DETROIT ARSENAL—The Center for Army Analysis has given two of its prestigious Modeling & Simulation awards to the U.S. Army DEVCOM Ground Vehicle Systems Center. Both awards, in the team category—one ...

This report covers how the industrial machinery industry is embracing modeling and simulation to create better processes and products, all while lowering costs and time to market. This State of Market ...

Fractured porous media modelling and simulation address the complexities inherent in natural and engineered subsurface systems. These systems comprise a porous matrix interspersed with fractures, ...

The U.S. Air Force has awarded Northrop Grumman the potential $972 million firm-fixed-price, time and materials Air Force Modeling and Simulation support services, or AFMS3, contract. Air Force ...

Within the overall objective to support the development of fast reactor technology and to extend the predictive capabilities of existing simulation tools for design and safety analysis, this ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting?