Experiments replicate high densities in ‘white dwarf’ star remnants
Rochester researchers help lead work to simulate pressures of white dwarf stars, work that may offer ideas for creating new materials on Earth.
Rochester leads effort to understand matter at atom-crushing pressures
The University is the host institution for a NSF-funded national collaboration to explore ‘revolutionary states of matter.’
Hajim School Dean Wendi Heinzelman reappointed to five-year term
Under Heinzelman’s direction, the Hajim School has significantly increased research expenditures and added new initiatives in data science, high energy density physics, and augmented and virtual reality, among others.
Project creates more powerful, versatile ultrafast laser pulse
Institute of Optics research sets record for shortest pulse for newly developed technology, work that has important applications in engineering and biomedicine.
Study: Twitter mirrors our attitudes and feelings about COVID-19
Themes of anxiety, depression, and fear of shortages emerge as Rochester researchers continue to mine social media as a reflection of the United States “in the moment.”
Laser scientists receive international award for ‘shock ignition’
Laboratory for Laser Energetics pioneers Ricardo Betti and Wolfgang Theobald honored by American and European Physical Societies.
This low-cost catalyst helps turn seawater into fuel at scale
For the first time, Rochester chemical engineers have demonstrated that a “potassium-promoted” chemical catalyst can be used to convert seawater into fuel on an industrial scale.
Lasers etch an efficient way to address global water crisis
Researchers in the lab of optics professor Chunlei Guo use lasers, sunlight, and aluminum panels to develop the most efficient means yet of purifying contaminated water.
Faculty recognized as AS&E data science fellows
Physicist Gourab Ghoshal and electrical and computer engineer Gonzalo Mateos received alumni-supported fellowships to use data science in exploring their fields.
Mathematical model will monitor spread of COVID-19
Computational scientists win a National Science Foundation grant to develop a tool to provide accurate, timely information to local-level policymakers monitoring the spread of COVID-19.