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 ...

An open access tutorial in Advances in Simulation provides a five-step, code-inclusive introduction to cardiopulmonary ...

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 ...

Simulation has been a key technology of the automotive industry for many decades. Predictive simulations enable engineers and designers to understand how parts of a vehicle, or even entire vehicles, ...

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 ...

A large simulation study shows the heuristic shrinkage factor commonly used to correct overfitting in logistic regression ...

Defense is in a race to innovate. Adversaries are compressing the time between technological discovery, development, fielding and adaptation. The U.S. defense acquisition system must respond by ...

Driven by the need to objectively measure the progress of their verification efforts and the contributions of different verification techniques, IC designers have adopted coverage as a metric. However ...

The Pentagon’s focus on readiness has rarely been sharper. Facing peer competitors, contested domains and constrained budgets, U.S. forces must be trained to fight and win under conditions of ...

Today, many analog IC manufacturers provide software models in SPICE format. With an enlarging community using electronic design automation (EDA), it's become a prominent challenge to provide SPICE ...