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 ...

Due to the rapid development of technology, modern architectural design and industrial product development methods have ...

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure ...

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 ...

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 ...

As investment in Physical AI accelerates, simulation is taking on a much larger role than simply generating synthetic training data. HPC-based physics simulation is increasingly being used to improve ...

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 ...

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 ...