Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, ...

Dynamic modelling and control of robotic systems constitute a vital area of research, where the formulation of precise mathematical models of robot dynamics underpins the design of effective control ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...

While dynamic modeling is arguably one of the most important technological developments for engineers in the last 50 years, many process control engineers are unable to use it. It requires proper time ...

This module serves as a foundation and introduction to systems thinking in chemistry classes, introducing key terminology and concepts in systems thinking with specific ties to green and sustainable ...

A study published today in Earth System Dynamics provides a critical and previously underestimated connection between Antarctic sea ice, cloud cover, and global warming. This research is important ...

Abstract: Dynamic automation is transforming the healthcare industry by enhancing efficiency, productivity, and patient care outcomes. This approach leverages flexible, reusable code modules to ...