Alex Graham of SimScale dives into how machine learning and agentic AI can provide faster physics predictions, accelerating ...

AI models trained on the mathematics of physical systems are accelerating engineering design by approximating complex simulations in seconds, offering significant speed gains over traditional solvers.

The Covid-19 pandemic has shaken the world to its core. Beyond the horrendous loss of life, millions of people have lost their jobs, companies have shuttered and global supply chains have become ...

Engineering teams are increasingly using large physics-based AI models to cut simulation times from weeks to minutes, enabling faster iterations in sectors like automotive and aerospace. Automakers ...

In engineering applications, cloud computing can provide the on-demand compute power needed to run increasingly more complex simulations on a more frequent basis throughout the design cycle.

Equipment failures emerge from complex system interactions in real-world conditions that simulation cannot fully predict or ...

Control engineering, mechatronics and robotics together form a unifying framework for designing, analysing and deploying intelligent electromechanical systems. Control engineering provides the ...

Keywords: Earthquake engineering, model-in-the-loop simulation, shake-table control, impedance matching, control-structure interaction, real-time feedback Seismic isolation Abstract: Model-in-the-loop ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...