Research Summaries

Machine learning techniques hold potential for enabling scientists to extract valuable insights from large, complex data sets being produced by

Biological organisms are complex systems composed of functional networks of interacting molecules and macromolecules. Complex traits (phenotypes)

The first-ever computation of an atomic nucleus, the deuteron, on a quantum chip demonstrates that even today’s rudimentary quantum computers can solve nuclear physics questions.

In nature, multivalency, or the ability to bind to multiple sites at once, is important for selective binding and plays a significant role in a

An optical metasurface is a designer interface that packs together multiple materials carefully selected for their ability to control light. The

The computer simulations are fully corroborated by the theoretical predictions of a new phenomenological theory, putting the conclusions on a solid

Using the TRIUMF Neutral Atom Trap (TRINAT) facility, a collaboration from Texas A&M University, TRIUMF (Canada's national particle accelerator

Capacitors are electrical components that store energy and are widely used in electronic devices. Typical supercapacitors, named for their ability

Decreasing fuel consumption and emissions in diesel vehicles requires end-of-tailpipe technologies. To reduce emissions of nitrogen oxide

Designing materials for sensors that function at peak performance in relatively harsh environments, such as saltwater, is of interest to