A new two-stage reduced order model combines hyper-reduction and Gaussian process regression to cut both training and ...

For decades, process simulation and optimization (PSO) software has been built on a foundation of first-principles engineering—rigorous physics, thermodynamics, and mass and energy balances. These ...

Agent-based modelling and simulation (ABMS) constitutes a powerful computational paradigm for exploring the dynamics of complex systems through the interactions of discrete, autonomous agents. Each ...

New ARC research on the process simulation and optimization market reveals that demand for sustainability is driving market growth. To optimize their processes and their businesses, industrial ...

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 ...

A simulation-only study on a UR5 robot arm shows Gaussian Process Regression most accurately predicts joint torques, while ...