Tag: research funding
Rochester’s Laser Lab heads new national inertial fusion energy hub
Federal funding brings together experts to chart a viable path to realizing fusion energy as a clean power source.
Qubit by qubit: Optimizing silicon for quantum computing
A team of researchers including John Nichol, an associate professor of physics, has won a grant from the US Air Force Office of Scientific Research to address challenges posed by silicon spin qubits.
Audio deepfake detective developing new sleuthing techniques
A National Institute of Justice fellowship allows Rochester graduate student You “Neil” Zhang to develop novel defenses against deepfake scams.
Human brain’s ‘temporal scaffolding’ inspires new AI approaches
Applying a recent hypothesis about how the brain operates during sleep could improve the lifelong learning abilities of artificial intelligence.
Laser Lab supercomputer ranked one of the world’s most powerful
The new supercomputer enables a four-fold increase in high-performance computing to simulate high-energy-density physics and inertial confinement fusion experiments.
Photonic chips could give drones a lift when GPS is unavailable
Rochester researchers aim to leverage the quantum technique of weak value amplification to replace the gyroscopes in drones.
NSF funds multi-institutional design of world-leading EP-OPAL laser at Rochester
The ultrahigh-intensity laser facility has the potential to be a unique open-access resource for the global scientific community.
Mt. Hope Family Center awarded $8.5M to continue child maltreatment studies
Funding from the National Institutes of Health builds on the grant given five years ago to establish the TRANSFORM multidisciplinary national research and resource center.
Scientists take another step in the quest to combat antibiotic resistance
A team uncovers a surprising twist in the ways bacteria spread antibiotic-resistant genes.
A quantum leap in cooling atoms for better computers
A new grant will allow John Nichol and his team to study thermoelectricity to help develop more efficient quantum computers.