A team tested the effects of climate change on tiny organisms called protists that live among the peatland mosses and are often overlooked.
The prediction of quantum entanglement in particle jets lays groundwork for experimental tests at particle colliders.
Researchers developed a model that combines data sources and uses physics-guided machine learning to more accurately understand methane emissions.
The $1.5 million grant supports the creation of surrogate machine learning models for extreme-scale distributed computing infrastructure.
A new program will enable UH students to participate in state-of-the-art experimental programs that are fundamental to the discovery of qubits.
An international research team expanded the Fermi-Hubbard model, allowing for a more detailed exploration of materials and their properties.
The polymer enabled researchers to measure the amount of charge produced in spin-to-charge conversion within a spintronic material at room temperature
UTA physicists will build 100 modules for the first detector and all 200 of the modules for the second detector for the field cage.
A new way to store & transmit information uses disordered superconducting loops to enable computers to retain & retrieve information more efficiently.
The FRIB Project team received a DOE Secretary of Energy Achievement Award at the annual Secretary’s Honor Awards ceremony held February 20.