ScienceDaily: Matter & Energy News

In a new study, a team of researchers outlines the technology for a CRISPR-based test for COVID-19 that uses a smartphone camera to provide accurate results in under 30 minutes.

Computer molecular physics has contributed to the understanding of protein behavior by creating 3D models of molecular machines and setting them in motion. Researchers at Stony Brook University are using the Frontera supercomputer at the Texas Advanced Computing Center to make structure predictions for 19 proteins from the SARS-CoV-2 virus about which little is known. Their team uses a method they developed, called MELD, that accelerates the structure prediction process by orders of magnitude.

New research documents the attempts of the Borexino experiment to measure low-energy neutrinos from the sun's carbon-nitrogen-oxygen (CNO) cycle for the first time.

A new study is a step towards even-faster, more energy-efficient 'spintronic' technology - an exciting, beyond-CMOS technology. The new study applies 'spin-filtering' to separate spin orientation, allowing generation and detection of spin via electrical (rather than magnetic) means, because electric fields are a lot less energetically costly to generate than magnetic fields.

Research shows that in 2D simulated fluids, upward-flowing swarms of bubbles, a mathematical relationship describing the nature of flows in their wake, previously thought to be universal, actually changes within larger-scale flows in less viscous fluids.

Heralding the end of a decade-long quest, in a promising new class of extremely thin, two-dimensional semiconductors, scientists have for the first time directly visualized and measured elusive particles, called dark excitons, that cannot be seen by light. The powerful technique, described in Science, could revolutionize research into two-dimensional semiconductors and excitons, with profound implications for future technological devices, from solar cells and LEDs to smartphones and lasers.