Dynamic modelling of power system transients encompasses the theoretical framework and computational methods used to predict the time-domain response of electrical networks to disturbances such as ...

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

A new commentary argues that AI models trained on molecular dynamics data are more reliable when built from multiple short, ...

A dynamic digital twin platform for plant operation simulation and control system integration. Omega Simulation Co., Ltd., a subsidiary of Yokogawa Electric Corporation, has revamped its OmegaLand ...

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 ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

A newly developed generative AI model is helping researchers explore protein dynamics with increased speed. The deep learning system, called BioEmu, predicts the full range of conformations a protein ...

Title MODFLOW models for the simulation of groundwater-flow dynamics in the U.S. Northern High Plains driven by multi-model estimates of surficial aquifer recharge.

All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements. All NSF ...