Discovering and characterizing new materials is important for unlocking advances in fields like clean energy, advanced ...

Discover how combining feedback and reflection helps students improve skills, challenge assumptions, and become more adaptive ...

Abstract: Learning is central to intelligent control, particularly in real-world scenarios with complex time-varying constraints. This paper proposes an adaptive neural network-based control method ...

A new study argues that traditional teaching methods are no longer sufficient, calling for a fundamental redesign of how systems thinking is taught, assessed, and governed across professional ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, dynamic simulations with digital twins. Online metrics can be developed to ...

Allegro Microsystems’ ACS37017 Hall-effect current sensor achieves 0.55% typical sensitivity error across temperature and lifetime. High accuracy, a 750‑kHz ...

This manuscript uses simulations to describe the dynamics of the Pseudomonas-derived cephalosporinase PDC-3 β-lactamase and its mutants to better understand antibiotic resistance. The finding that ...

Honeywell and Danfoss are partnering to integrate variable frequency drive (VFD) technology with Honeywell's Experion Process Knowledge System platform to streamline motor control, reduce energy ...

The spread of artificial intelligence is forcing an uncomfortable truth on semiconductor manufacturing. Thin films, which are essential for isolating signals and insulating different components and ...

You’ll learn about instrumentation and valves. The article identifies the importance of positioners in fast loops. How first-principle dynamic simulations provide insights into compressor surge, ...