Machine learning offers faster, more reliable analysis of Fermi surfaces in search of spintronic materials

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...
IEEE

Investigating Adaptive Tuning of Assistive Exoskeletons Using Offline Reinforcement Learning: Challenges and Insights

Abstract: Assistive exoskeletons have shown great potential in enhancing mobility for individuals with motor impairments, yet their effectiveness relies on precise parameter tuning for personalized ...

Educating the Next Generation of Process Control Engineers

Which subjects should be included in the curriculum of an undergraduate process control course, and which should not?
IEEE

Finite-Time Control of Nonlinear Systems Using Constrained Reinforcement Learning

Abstract: This paper presents a constrained reinforcement learning (RL) framework for training a controller for nonlinear systems with guaranteed finite-time stability. The scheme is based on the deep ...