Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...
A new low-power sensor node framework combines sensing and machine learning, with the potential to enhance real-time ...
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Can you design a mechanism that will trace out the shape of a heart? How about the shape of a moon, or a star? Mechanism ...
Stearns and Poletti present a technically impressive study that aims to uncover a deeper understanding of microsaccade function: their role in perceptual modulation and the associated temporal ...
Georeservoir engineering—including petroleum, geothermal, and CO₂ sequestration systems—plays a pivotal role in advancing global energy production, storage, ...
The goal of the summer job is to assist the mechatronics research group in their research. The specific job description will be defined based on the selected candidate's skills and interests.