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NERSC's core mission is to accelerate the pace of scientific discovery. NERSC and its nearly 7,000 users are extremely active contributors to all fields of energy-related science in which computation and data analysis play a central role. NERSC is cited in about 2,000 refereed scientific publications per year. A sample of science articles is at Science News and science presentations can be found at Science Highlights Presentations. On these pages, we present some highlights from our users and describe some of the ways NERSC gathers requirements for science and recognizes its users' accomplishments.
Nobel Prize-Winning Research
NERSC has supported the work of six Nobel Prize-winning researchers and teams.
- 2017 Chemistry: Joachim Frank "for developing cryo-electron microscopy for the high-resolution structure determination of biomolecules in solution" [MORE]
- 2015 Physics: SNO Collaboration "for the discovery of neutrino oscillations, which shows that neutrinos have mass" [MORE]
- 2013 Chemistry: Martin Karlpus "for the development of multiscale models for complex chemical systems" [MORE]
- 2011 Physics: Saul Perlmutter "for the discovery of the accelerating expansion of the Universe through observations of distant supernovae" [MORE]
- 2007 Peace: Intergovernmental Panel on Climate Change "for their efforts to build up and disseminate greater knowledge about man-made climate change, and to lay the foundations for the measures that are needed to counteract such change"
- 2006 Physics: George Smoot "for the discovery of the blackbody form and anisotropy of the cosmic microwave background radiation" [MORE]
- COVID-19 Research at NERSC NERSC is supporting COVID-19 related research by providing urgent access to its High Performance Computing and Data resources and staff expertise. Projects get access to NERSC to conduct COVID-related research through a number of different means, including NERSC's standard mission science ("ERCAP") allocation process and through strategic collaborations between NERSC/Berkeley Lab and research teams. Research teams who are interested in using NERSC for COVID-related studies can learn more by…
- Science News Highlights of scientific discoveries and milestones enabled by NERSC and its computational and data resources.
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Science Vignettes
- World's first 3-D Simulations of Superluminous Supernovae
- New Estimates for Ice Sheet Mass Loss
- Designing Materials with Tunable Electrical and Magnetic Behaviors
- Near-Real Time Networked Analysis of KSTAR Data
- New Conservation Laws in Turbulent Magnetized Flows
- Petawatt Laser Guiding and Electron Beam Acceleration to 8 GeV in a Laser-Heated Capillary Discharge Waveguide
- Towards Simpler Fusion Power Devices
- Cutting Edge Simulations of Lasers Interacting With Dense Plasmas
- Vulnerability of the Antarctic Ice Sheet
- Machine-Learned Impurity Level Prediction in Semiconductors
- Mapping Neutral Hydrogen in the Early Universe
- Enabling Thermochemistry Estimation using Deep Learning
- Exploring the High-Pressure Materials Genome
- DOE Models Simulate Antarctic Ice Sheet Evolution
- ATLAS Experiment: Scaling High Throughput Workflows
- Amazon Soil Moisture Impact on Carbon Dioxide Emissions
- Machine-Learned Impurity Prediction in Semiconductors
- Detection of Helium in Sub-luminous Thermonuclear Supernovae
- Binding Preferences Predictions Across the Actinide Series
- New Methodology for Simulating Nanoporous Materials
- Quantifying Systematic Error in Monte Carlo Simulations
- Magnetic Reconnection: A bridge to Plasma Kinetic Scales
- How California Wildfires Can Impact Water Availability
- Predicting Plasma Pressure in Future Fusion Facilities
- Hydrogen a Culprit in Battery Degredation
- An Integral Role for Gluons in the Proton's Pressure Distribution
- New Insights Into the Human Gut Microbiome
- A New Understanding of Perovskite Solar Cells
- Squeezed nanocrystals: A new model predicts their shape
- Discovering Hundreds of New Gravitational Lenses
- Searching for Evidence of a ‘Neutrinoless’ Particle Process
- Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19
- New Materials to Improve Solar Cell Efficiency
- Matter & Antimatter Creation from Real Photon Interactions
- Projected Land Ice Contributions to Sea Level Rise
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NERSC HPC Achievement Awards
The NERSC HPC Achievement Awards are given annually to recognize extraordinary scientific achievement from NERSC users and to encourage the innovative use of High Performance Computing resources.
- Early Career Achievement Award Seminar Series
- NERSC Honors Eight Early Career Scientists with Annual HPC Achievement Awards
- NERSC Achievement Award Recipients 2018-19
- 2017 Recipients
- 2016 Recipients
- Third Annual HPC Achievement Award Recipients
- Second Annual HPC Achievement Award Recipients
- 2013 HPC Achievement Award Recipients
- Science Highlights Presentations Quarterly highlight slides of recent scientific accomplishments from NERSC users.
- NERSC User Publications
- High-Impact Science at Scale Program NERSC's High-Impact Science at Scale program provides competitively selected projects an allocation of time to use NERSC's unique capabilities to deliver high-impact science. Selected projects use NERSC resources at scale to investigate key science problems that they would not otherwise be able to address. Teams were selected following Calls for Proposals, in which responses were reviewed for the ability to scale well on Cori KNL nodes, potential to deliver a significant science result, a…
- Inter-Facility Science Inter-facility Science As data volumes and data complexity have grown at experimental and observational facilities funded by DOE, there has been an increase in partnerships between NERSC and these facilities. This page highlights recent examples where NERSC's scalable computing and data analytic capabilities have been leveraged in coordination with large scale experimental and observational science. NERSC seeks opportunities where HPC can accelerate discovery and/or expand the scope of…
- HPC Requirements Reviews The user requirements reviews are held to ensure that DOE can meet the scientific needs of the Office of Science and its researchers.
