Fang Xie, a postdoctoral fellow in Rice’s physics and astronomy department and Extreme Quantum Materials Alliance, has received the ACS-Moore Postdoctoral Bridge Award in Quantum Materials.
Benjamin Kwait-Gonchar, a senior majoring in biophysics and Earth, environmental and planetary sciences, received the first annual Rice University Astronaut Scholar Award.
Rice’s Guido Pagano, along with collaborators at Duke University and Translume Inc., has developed a new kind of trapped-ion simulator, called a monolithic segmented 3D ion trap.
In two papers published in Science Sept. 24, an international collaboration provides both the building blocks and a guide to the search for families of twistronics.
New results from the STAR detector at the Relativistic Heavy Ion Collider (RHIC) suggest that gluons, the gluelike particles that hold quarks together inside protons, play a central role in the conservation of baryon number, an essential part of a particle’s quantum identity.
Rice’s Pengcheng Dai recently published a paper in Physical Review X describing the first successful efforts to put a proposed altermagnet material into a single magnetic domain state, allowing the research team to characterize the material’s intrinsic magnetic structure.
Researchers at Rice have found that gently squeezing a crystal of iron sulfide can change two of its unusual properties at the same time: its tiny magnetic signal and the way electricity moves through it.
Rice physicist Guido Pagano unveiled a new, two-knob control for a trapped-ion quantum simulator that allows individual control of temperature and dissipation.
Rice's Ming Yi recently showed that the quantum material ruthenium dioxide potentially displays this new altermagnetism in its ultrathin film form in which the material is prepared as a very thin slice only a few atomic layers thick.
Rice researchers’ detector concept uses engineered semiconductor materials to search for axions in a range of possible masses that has remained difficult to probe with existing experiments.
Rice researchers developed a new way to model how the cochlea processes incoming sound using graph signal processing, which could shed light on what happens as hearing deteriorates with age and make possible better assistive technologies for people with hearing loss.