A team of researchers from Arizona State University, the U.S. Army Research Laboratory (ARL), Lehigh University and Louisiana State University has developed a groundbreaking high-temperature copper alloy with exceptional thermal stability and mechanical strength.

The research team’s findings on the new copper alloy, published in prestigious journal Science, introduce a novel bulk Cu-3Ta-0.5Li nanocrystalline alloy that exhibits remarkable resistance to coarsening and creep deformation, even at temperatures near its melting point.

A powerful AI model called Deep Novel Mutation Search (DNMS) predicts virus mutations more accurately and efficiently than traditional, time-consuming lab experiments. Focused on the SARS-CoV-2 spike protein, the model uses a specialized protein language model fine-tuned to understand the virus's specific “language.” DNMS can predict mutations that cause small, functional changes – crucial for viruses like SARS-CoV-2, which evolve through subtle adjustments to maintain function. This approach promises to enhance virus tracking and public health by predicting mutations more accurately and quickly.

UChicago researchers develop a new technology to create a spatial map of gene expression for an entire organism.

University of Texas at Dallas developed a new theory to explain heat transfer on advanced surfaces, which they outline in an article published online March 13 in the physical science journal Newton.

The theory is critical to the researchers’ work to develop innovative surfaces for applications such as harvesting water from air without electricity.