A good analytical model should satisfy several requirements, depending on the application area. A first critical success factor is business relevance. The analytical model should actually solve the ...

Recently, I was working with one of our data scientist (Wei Lin, pictured below with his son Lucas on a trip to the Grand Canyon…yes, we do occasionally let our data scientists have a life) on a ...

While traditionally, researchers have relied on empirical and semi-empirical correlations for predicting behaviors in two-phase flows, theoretical/analytical modeling ...

A new software tool can accelerate materials science research by cutting out tedious background research on material properties. Researchers recently debuted propSym, an open-source software on the ...

Polymer flooding is recommended for hydrocarbon reservoirs with high heterogeneity or a high water-oil mobility ratio since the addition of polymer to the injected water increases viscosity, plugs ...

As the supply chain stabilizes, many manufacturers are returning to normal operations with more robust technological capabilities. In fact, nearly half of supply chain leaders increased spending on ...

In the Army’s march toward the secretary of the Army’s number two priority, becoming more “data-centric,” Army leaders need more useful models that will help them think about achieving and maintaining ...

Systems Planning & Analysis has acquired Group W, a Vienna, Virginia–based data science and defense analytics firm specializing in modeling, simulation and wargaming support for the Department of ...