Welcome to LLE

The Laboratory for Laser Energetics (LLE) of the University of Rochester is a unique national resource for research and education in science and technology. LLE was established in 1970 as a center for the investigation of the interaction of intense radiation with matter. The National Nuclear Security Administration funds LLE as part of its Stockpile Stewardship Program.

Target being shot by a laser

Alumni Focus

Alumni Focus

Michelle Marshall

Dr. Marshall graduated Magna Cum Laude from the State University of New York College at Geneseo in 2011 with a Bachelor of Arts degree in Physics and a minor in Mathematics. There she conducted undergraduate research in observational astronomy. She attended the University of Rochester for graduate work. She conducted research as a Horton fellow at the Laboratory for Laser Energetics in the field of high-energy-density physics under the supervision of Dr. Thomas Boehly and Professor David Meyerhofer.

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Users' Guide

The Omega
Laser Facility Users' Guide

is available for download here.

Quick Shot

LLE Gets Wired!

Nobel Laureate, Donna Strickland, will be featured in an upcoming episode of the new Wired Magazine Web Series: 5 Levels with LLE Director, Mike Campbell. The series takes an expert scientist and challenges him or her to explain a high-level subject in five different layers of complexity—first to a child, then a teenager, then an undergrad majoring in the same subject, a grad student and, finally, a colleague. Campbell will appear as Strickland's chosen colleague in the episode. View past episodes of the series here.

Past Quick Shots

Around the Lab

OMEGA Laser System Second Line-of-Sight Project

Achieving controlled thermonuclear fusion, an energy source with the potential to provide a virtually unlimited source of clean energy, requires diagnostics to better understand the complex process that takes place in inertial confinement fusion (ICF) experiments. Due to the 3-D nature of these experiments, measurements are needed over multiple orthogonal lines of sight to maximize the coverage required to infer 3-D performance metrics.

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