NERSC Allocation Year Transition is Underway

This yearly transition involves several critical deadlines and policy changes all users should know about. » Read More

AI Shows Promise for Mapping Disease Progression

Congratulations to the Winners of the NERSC Science as Art Competition

With 70-plus eye-popping entries, we couldn't pick just one. » Read More

David Baker Wins Nobel Prize for Chemistry

A computational biologist and prolific user of NERSC systems, David Baker has been awarded a Nobel Prize for Chemistry for his work in computational protein design. » Read More

Quantum Computing Partnership Extended

After a successful first year punctuated by strong scientific results, NERSC’s partnership with QuEra Computing has been extended. » Read More

Magnifying Deep Space Through the 'Carousel Lens'

Using the Perlmutter supercomputer, DESI Legacy Imaging Surveys, and NASA’s Hubble Space Telescope, researchers identified a rare and revealing gravitational lens. » Read More

Tropical Cyclones Intensify Due to Warming Atmosphere

Tropical cyclones have grown more intense near global coastal regions. A new study found that hotter air interacting with humidity and wind shear is likely the culprit. » Read More

National Energy Research Scientific Computing Center

NERSC is the mission scientific computing facility for the U.S. Department of Energy Office of Science, the nation’s single largest supporter of basic research in the physical sciences.

Computing at NERSC

OURSYSTEMS DOCUMENTATIONFOR USERS CENTERSTATUS APPLY TOUSE NERSC

Now Computing

Some of the science now being computed at NERSC

Center systems are undergoing maintenance on Dec. 17, 2024. Check the center status page for updated information.

Project	System	Nodes
Energy Exascale Earth System Modeling (E3SM) Biological & Environmental Research PI: Lai-Yung Ruby Leung, Pacific Northwest National Laboratory (PNNL)	perlmutter	512
Lattice QCD search for physics beyond the standard model High Energy Physics PI: Rajan Gupta, Los Alamos National Laboratory	perlmutter	288
Atomic-scale design and characterization of sorbents for carbon capture ASCR Leadership Computing Challenge PI: Jonathan Owens, GE Global Research	perlmutter	128
Large-Scale Model-Based Optimization by Quantum Monte Carlo Integration Advanced Scientific Computing Research PI: Kwangmin Yu, Brookhaven National Lab	perlmutter	128
Permeation across bacterial microcompartments for designer catalysis Basic Energy Sciences PI: Josh Vermaas, Michigan State University	perlmutter	32
Turbulent reconnection in astrophysical plasmas. Fusion Energy Sciences PI: James Stone, Institute for Advanced Study	perlmutter	32