Posts Tagged Department of Mechanical Engineering

Using mechanical rather than statistical analysis, an international team of scientists offers a new framework for understanding the climate system.

Rochester scientists have developed deep-learning models that can sift through the massive amounts of data generated by X-ray diffraction techniques.

“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.

Before we turn the calendar to December, here’s a look back at some images captured in November across the University.

Faculty members work with industry advisors to modernize hands-on aspects of the department’s curriculum.

October brought fall in all its splendor to the University of Rochester. Take a brief look back at some favorite images from the past month.

The seemingly physics-defying properties of quasiparticles could be harnessed for applications ranging from non-destructive imaging to computer-chip manufacturing.

Rochester scientists will develop machine learning to help predict, design, and improve laser-fusion implosions for inertial fusion energy.

Dynamic shell formation has been demonstrated experimentally for the first time at the University of Rochester’s Laboratory for Laser Energetics.

A new, AI-based technique for measuring fluid flow in the brain could lead to treatments for diseases such as Alzheimer’s.