NERSCPowering Scientific Discovery Since 1974

Berkeley Lab Study Confirms Amassing CO₂ Heats Earth’s Surface

Analysis of a decade of atmospheric data helps scientists detect an increase in carbon dioxide’s greenhouse effect at the Earth’s surface. The culprit? Fossil fuel emissions. » Read More

New Algorithm Enables Faster Simulations of Ultrafast Processes

An enhancement to the real-time time-dependent density function theory code opens the door for real-time simulations in atomic-level materials research. » Read More

Raindrops Physics May Affect Climate Model Accuracy

Using NERSC supercomputers, researchers from the Pacific Northwest National Laboratory found that factors as small as how sizes of raindrops were represented in a computer model made a big difference in the accuracy of results. » Read More

Pinpointing the Magnetic Moments of Nuclear Matter

Using NERSC's Edison supercomputer, a team of nuclear physicists has made a key discovery in its quest to shed light on the structure and behavior of subatomic particles. » Read More

A Standard for Neuroscience Data

Berkeley Lab and NERSC researchers are developing tools to standardize data formats and storage for the neuroscience research community. They are also working on a portal to make sharing neuroscience data easier. » Read More

National Energy Research Scientific Computing Center

Computing at NERSC

Now Computing

A small sample of massively parallel scientific computing jobs running right now at NERSC.

Project Machine CPU Cores CPU Core Hours Used
Validation Studies of Gyrokinetic Simulations to Understand the Coupling of Ion and Electron Scale Turbulence in Tokamak Plasmas
 PI: Chris Holland, University of California San Diego
Edison 16,416
3D Extended MHD simulation of fusion plasmas
 PI: Stephen C. Jardin, Princeton Plasma Physics Laboratory
Hopper 12,288
Computational studies in plasma physics and fusion energy
 PI: Abhay K. Ram, Massachusetts Institute of Technology
Hopper 6,144
Gyrokinetic turbulence and transport: From basic understanding to truly predictive capability
 PI: Frank Jenko, University of California Los Angeles
Edison 1,536
Analysis and Serving of Data from Large-Scale Cosmological Simulations
 PI: Salman Habib, Argonne National Laboratory
Edison 1,536
Accurate theoretical predictions for systems of superheavy elements (SHE) using Dirac-Fock(Breit- Gaunt)Relativistic Coupled-Cluster methodology
 PI: Walter Loveland, Oregon State University
Carver 512

 

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Did You Know?

George Smoot, professor of physics at UC Berkeley & an astrophysicist at Berkeley Lab, won the 2006 Nobel Prize for physics for his cosmic microwave background radiation data analysis. He used NERSC supercomputers to confirm predictions of the Big Bang theory.