Manipulated hafnia paves the way for next-gen memory devices
Scientists outline new processes for leveraging hafnia’s ferroelectric features to enhance high-performance computing.
Is oxygen the cosmic key to alien technology?
Rochester astrophysicist Adam Frank explores the links between atmospheric oxygen and detecting extraterrestrial technology on distant planets.
Scientists uncover link between the ocean’s weather and global climate
Using mechanical rather than statistical analysis, an international team of scientists offers a new framework for understanding the climate system.
Machine learning boosts search for new materials
Rochester scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques.
New strategy reveals ‘full chemical complexity’ of quantum decoherence
The findings can be used to design molecules with custom quantum coherence properties, laying the chemical foundation for emerging quantum technologies.
Can an app improve your romantic relationship?
Couples report healthier, stronger relationships after one month of using a relationship app codeveloped by a Rochester psychologist.
Rochester research with ‘ghostly’ neutrinos among Physics World’s breakthroughs of the year
Led by researchers from the University of Rochester, scientists from the international collaboration MINERvA have, for the first time, used a beam of hard-to-detect neutrinos to investigate the structure of protons.
When do teens lie to their parents (and when do they tell the truth)?
Rochester psychologist Judith Smetana has made it her life’s work to understand how teenagers tick. In her latest study, she finds patterns in the timing of lies and the way secrets are disclosed.
Straining memory leads to new computing possibilities
“We’ve combined the idea of a memristor and a phase-change device in a way that can go beyond the limitations of either device,” says Stephen Wu, an assistant professor of electrical and computer engineering and of physics.
How do living things use meaningful information to survive?
A team from the Department of Physics and Astronomy has applied the theory of semantic information to a realistic model capturing attributes of living systems—and found the critical point where information matters for survival.