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 ...

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 ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a faster and more sustainable path toward carbon rich ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

A new tool to model peripheral nerve stimulation rapidly discovered optimal electrical waveforms (white traces) which, when delivered through the metal contacts of a cuff electrode placed on the vagus ...

Gongguo Tang; Department of Electrical, Computer, and Energy Engineering; University of Colorado BoulderGeometry and algorithm for some nonconvex optimizationsGreat progress has been made in the past ...

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds.

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.