The Jefferson Lab Press Room
NEWS RELEASES
Kent Hammack brings extensive experience in facilities management to Jefferson Lab NEWPORT NEWS, VA – The U.S. Department of Energy's Thomas Jefferson National Accelerator Facility has selected Kent Hammack as director of its Facilities Management & Logistics Division.
With up to a million X-ray flashes per second, it transforms the ability of scientists to explore atomic-scale, ultrafast phenomena that are key to a broad range of applications
The lab has been recognized for a seventh straight year for its commitment to choosing more sustainable electronics
dchopard@jlab.org
Physical science teachers hone skills and implement interactive learning strategies
A new study sheds light on the 3D structure of nucleon resonances
Family, friends and neighbors are invited to attend a poster session highlighting summer intern science projects at Jefferson Lab
2023 JSA Postdoctoral Prize Winner Peter Hurck wants to make it easier to find strange particles that will tell us more about our universe’s building blocks
FEATURES
The Linac Coherent Light Source-II sees its first hard X-ray laser beams following completion of an upgrade carried out with support from Jefferson Lab
Jefferson Lab is creating new storage areas for large-scale scientific and facilities equipment with $2.25 million in Inflation Reduction Act funding
As a 2022-2023 Jefferson Science Associates Minority/Female Undergraduate Research Assistantship recipient, Diego Padilla Monroy is helping fellow physicists pick out misleading neutrons
The Thomas J. Newsome House received more than 40 archival boxes for historical record preservation purposes
JSA Minority/Female Undergraduate Research Assistantship recipient Alicia Mand is reusing old electron scattering data to help solve the puzzle of neutrinos
Experimental results a decade in the making will help theorists refine their calculations of the strong force
Scientists at Jefferson Lab and William & Mary developed MemHC to improve the efficiency of supercomputer calculations
As machine learning tools gain momentum, a status report demonstrates they are already in use in all areas of nuclear physics
