NERSCPowering Scientific Discovery Since 1974

Science News

fernando and brian

Project Jupyter: A Computer Code that Transformed Science

June 14, 2021

As Project Jupyter becomes an increasingly important tool for data science, HPC sites around the world are responding to the demand by looking for ways to effectively support them. And NERSC has been at the forefront of this effort. Read More »

Screen Shot 2021 06 08 at 1.23.07 PM

Study of Harvey Flooding Aids in Quantifying Climate Change

June 9, 2021

How much do the effects of climate change contribute to extreme weather events? A new study investigated the question for one particular element of one significant storm: Hurricane Harvey. Read More »


Limit global warming to 1.5°C and halve the land ice contribution to sea level this century

May 5, 2021

A new study predicts that sea-level rise could be halved this century (from today to 2100) if we meet the Paris Agreement target of limiting global warming to 1.5°C. This work combines nearly 900 simulations, including some of Berkeley Lab Computational Scientist Dan Martin's BISICLES models of Antarctic ice sheets. Read More »

MRDP story DC2 sky image

NERSC and ESnet Take Scientific Data Collaboration to the Next Level

April 12, 2021

When the Dark Energy Science Collaboration needed a fast, secure, and convenient way to share large data sets with scientists outside of the collaboration, they turned to Berkeley Lab Computing Sciences for help, ultimately choosing an innovative data-sharing solution: the Modern Research Data Portal. Read More »

helms ion solvation cage battery 1200x675 1 628x353

Designing Selective Membranes for Batteries Using a Drug Discovery Toolbox

April 7, 2021

Researchers have designed a polymer membrane with molecular cages built into its pores that could allow high-voltage battery cells to operate at higher power and more efficiently, important factors for both electric vehicles and aircraft. Read More »

Screen Shot 2021 03 29 at 7.50.24 PM

NERSC Aids PPPL in Plasma Rocket Breakthrough

March 30, 2021

A revolutionary new rocket engine design has come out of Princeton University, with an assist from the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory. Read More »

PNNL.AGU .weathersystemFIGURE.1600x1200

How Urbanization and Pollution Increase Storm Activity Around Cities

March 9, 2021

Using NERSC’s Cori system, PNNL researchers modeled the effects of urban land and aerosols on storm patterns in two major U.S. cities. Read More »


HPC Explorations of Supernova Explosions Help Physicists Reach New Milestones

February 25, 2021

For more than 60 years, physicists have been studying the question of how supernova explosions occur. Thanks to the increasing power of supercomputing resources such as those at NERSC, they’re moving ever closer to an answer. Read More »


Superfacility Model Brings COVID Research Into Real Time

February 8, 2021

Researchers at NERSC and the Linac Coherent Light Source at SLAC are collaborating to leverage the superfacility model for real-time data analysis in the worldwide quest to decipher the SARS-CoV-2 virus. Read More »


Novel Data Processing Technique Aids XFEL Protein Structure Analysis

January 26, 2021

Scientists use X-ray crystallography to determine the three-dimensional structures of proteins. A new data processing approach is enhancing the outcomes. Read More »

PulsarMeasurements3F NoArrows1

Measurements of Pulsar Accelerations Reveal Milky Way’s Dark Side

January 11, 2021

It is well known that the expansion of the universe is accelerating due to a mysterious dark energy. Within galaxies, stars also experience an acceleration, though this is due to some combination of dark matter and stellar density. Researchers using NERSC supercomputers have obtained the first direct measurement of the average acceleration taking place within our home galaxy, the Milky Way. Read More »

k matter 1000px

Novel Calculation Sheds New Light on Matter/Anti-Matter Mystery

December 14, 2020

An international collaboration of theoretical physicists has published a novel calculation that provides new insights into the relationship between matter and antimatter in the universe. This work included extensive use of NERSC supercomputing resources over six years. Read More »

Screen Shot 2020 11 13 at 1.19.16 PM

Deep-Learning Research Nominated for Best Student Paper Award at SC20

November 16, 2020

A paper describing MeshfreeFlowNet — an open-source, physics-constrained, deep-learning approach for simultaneously enhancing the spatial and temporal resolution of scientific data — is a finalist for the Best Student Paper Award at SC20.“MeshfreeFlowNet is a big step forward in terms of physics-constrained machine learning algorithm development, combining important criteria necessary for scientific data: physics-based partial differential equation constraints, a mesh-free design that… Read More »


NERSC Supports COVID-19 Pandemic Response

November 2, 2020

Since April 2020, NERSC has allotted 2.5 million node hours on its Cori supercomputer and has provided dedicated HPC staff liaisons and other resources to support COVID-19 research. Read More »

KK headshot highres

Physical Scientists Turn to Deep Learning to Improve Earth Systems Modeling

August 25, 2020

The role of deep learning in science is at a turning point, with weather, climate, and Earth systems modeling emerging as an exciting application area for physics-informed deep learning. In this Q&A, NERSC's Karthik Kashinath discusses what is driving the scientific community to embrace these new methodologies. Read More »


NERSC Resources Play Key Role in CUPID-Mo Collaboration

August 21, 2020

Nuclear physicists affiliated with the U.S. Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) played a leading role in analyzing data for a demonstration experiment that has achieved record precision for a specialized detector material. The data-analysis component of this ground-breaking research was conducted entirely at the National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science user facility located at Berkeley Lab. Read More »

SN2019yvq RGB

Spectacular ultraviolet flash may finally explain how white dwarfs explode

July 23, 2020

For just the second time ever, astrophysicists have spotted a spectacular flash of ultraviolet light in a supernova, an extremely rare event following a white dwarf explosion. Read More »

DESI logo

Supercomputing Pipeline Aids DESI’s Quest to Create 3D Map of the Universe

July 20, 2020

The Dark Energy Spectroscopic Instrument is combining high-speed automation, high-performance computing, and high-speed networking to produce the largest 3D map of the universe ever created. Starting in late 2020, DESI's five-year mission is to capture light from 35 million galaxies and 2.4 million quasars and transmit that data to NERSC - DESI’s primary computing center - for data processing and analysis. Read More »

plasmon9d 1200x520 1 628x272

Making Quantum ‘Waves’ in Ultrathin Materials

May 14, 2020

Running calculations at NERSC, a team of researchers co-led by Berkeley Lab have revealed how wavelike plasmons could power up a new class of sensing and photochemical technologies at the nanoscale. Read More »

Screen Shot 2020 04 29 at 2.15.08 PM

Machine Learning Could Provide Unexpected Scientific Insights into COVID-19

April 29, 2020

A new text-mining tool developed at Berkeley Lab and supported by NERSC supercomputing resources is using natural language processing techniques that could yield unexpected scientific insights into COVID-19. Read More »

mag nersc2

World's First 3D Simulations of Superluminous Supernovae

April 21, 2020

For the first time ever, an international team of astrophysicists simulated the 3D physics of superluminous supernovae—which are about a hundred times more luminous than typical supernovae—with NERSC supercomputers and the CASTRO code. Read More »


Harnessing the Power of Exascale for Wind Turbine Simulations

April 7, 2020

ExaWind, a DOE Exascale Computing Project, is developing new simulation capabilities to more accurately predict the complex flow physics of wind farms, and Berkeley Lab is bringing its adaptive mesh refinement expertise to the project to help make this happen. Read More »

COVID19 colorized CDC NIH image

NERSC’s Scientific Computing Power Steps into Coronavirus Battle

April 3, 2020

Researchers from the City of Hope’s Beckman Research Institute and the Translational Genomics Research Institute will use NERSC computing resources to help battle the COVID-19 global pandemic. Read More »

maple leaf

Earlier Spring Foliage Brings Warmer Air to the North

March 23, 2020

A group of researchers used NERSC to explore how early leaf growth, or “leaf-out,” affects the earth’s ecosystem. Their findings show that early spring leaf-out is causing a definitive increase in annual surface warming in the Northern Hemisphere. Read More »


Berkeley Lab Collaborates to Prepare Photovoltaic Materials Research for Exascale

March 5, 2020

NERSC and CRD researchers are part of a collaboration that is using BerkeleyGW software to enhance the search for new, more efficient photovoltaic solar cell materials on the first exascale computers. Read More »

NOAA 1915 map

NOAA Releases Extended Version of 20th Century Reanalysis Project

January 13, 2020

Calling it a time machine for weather data and a treasure trove for climate researchers, the National Oceanic and Atmospheric Administration (NOAA) has released an updated version of the 20th Century Reanalysis Project (20CRv3) - a high-resolution, four-dimensional reconstruction of the global climate that estimates what the weather was every day back to 1806. The release of this latest 20CRv3 data comes on the heels of an October 2019 release of data going back to 1836. Together these new… Read More »


Deep Learning Expands Study of Nuclear Waste Remediation

November 8, 2019

A research collaboration between Berkeley Lab, Pacific Northwest National Laboratory, Brown University, and NVIDIA has achieved exaflop performance with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Read More »

Berkeley Lab LandCover BurnScars

NERSC Powers Research on Post-Wildfire Water Availability

October 8, 2019

Scientists at Berkeley Lab recently took a closer look at how wildfires affect California’s watersheds. Computer simulations run at NERSC allowed them to identify the regions in the watershed that were most sensitive to wildfire conditions, as well as the hydrologic processes that are most affected. Read More »

Screen Shot 2019 09 27 at 2.20.06 PM

NERSC Resources Help PPPL Team Predict Plasma Pressure in Future Fusion Facilities

September 27, 2019

Researchers at the Princeton Plasma Physics Laboratory have developed new insights into the physics governing the balance of pressure in the scrape-off layer, the thin strip of gas at the edge of the plasma in a tokamak reactor. Read More »


Hydrogen a Culprit in Capacity Loss of Sodium-Ion Batteries

August 1, 2019

Using NERSC's Cori system, UC Santa Barbara computational materials scientist Chris Van de Walle and colleagues have uncovered a reason for the loss of capacity that occurs over time in sodium batteries. Read More »


Berkeley Lab Deep Learning Expertise Draws Attention at International Climatology Meeting

July 24, 2019

Berkeley Lab’s growing expertise in applying machine learning methods to extreme weather event studies led to invitations to present at the 2019 International Meeting on Statistical Climatology, a prestigious event held only every three years. Read More »

LZ lower PMT array 0104 Pano HDR Edit ZF 9470 01608 1 001 628x628

Scientists Piece Together the Largest U.S.-Based Dark Matter Experiment

July 22, 2019

Most of the remaining components needed to fully assemble an underground dark matter-search experiment called LUX-ZEPLIN (LZ) arrived at the project’s South Dakota home during a rush of deliveries in June. Once it is up and running, data captured by the detectors’ electronics will ultimately be transferred to NERSC, LZ’s primary data center, via ESnet. Read More »


Three Sky Surveys Completed in Preparation for Dark Energy Spectroscopic Instrument

July 9, 2019

It took three sky surveys – conducted at telescopes in two continents, covering one-third of the visible sky, and requiring almost 1,000 observing nights – to prepare for a new project that will create the largest 3D map of the universe’s galaxies and glean new insights about the universe’s accelerating expansion. Read More »


NERSC’s Cori System Reveals Integral Role of Gluons in Proton Pressure Distribution

July 8, 2019

For the first time, lattice quantum chromodynamics calculations run at NERSC allowed nuclear physicists from the Massachusetts Institute of Technology to determine the pressure distribution inside a proton, taking into account the contributions of the proton’s fundamental particles: quarks and gluons. Read More »


Cleaning Cosmic Microwave Background Data to Measure Gravitational Lensing

June 6, 2019

Gravity from distant galaxies cause tiny distortions in cosmic microwave background temperature maps - a process called gravitational lensing - which are detected by data analysis software run on supercomputers like the Cori system at NERSC. Unfortunately, this temperature data is often corrupted by foreground emissions from extragalactic dust, gas, and other noise sources that are challenging to model. So Berkeley Lab researchers developed a statistical method for analyzing CMB data that is largely immune to the foreground noise effects. Read More »


CosmoGAN: Training a Neural Network to Study Dark Matter

May 14, 2019

A Berkeley Lab-led research group is using a deep learning method known as generative adversarial networks to enhance the use of gravitational lensing in the study of dark matter. Read More »

PSII main

Superfacility Framework Advances Photosynthesis Research

May 9, 2019

Researchers have long studied PSII, a protein complex in green plants, algae, and cyanobacteria that plays a crucial role in photosynthesis. Their understanding of this three-billion-year-old biological system is now moving more quickly, thanks to an integrated superfacility framework established between LCLS, ESnet, and NERSC. Read More »

stretch fold black

A Breakthrough in the Study of Laser/Plasma Interactions

April 22, 2019

A new 3D particle-in-cell simulation tool developed by researchers from Lawrence Berkeley National Laboratory and CEA Saclay is enabling cutting-edge simulations of laser/plasma coupling mechanisms that were previously out of reach of standard PIC codes used in plasma research. Read More »


2019 DOE Performance Portability Meeting Breaks New Ground

April 15, 2019

The 2019 DOE Performance, Portability, and Productivity Annual Meeting once again brought together representatives from national labs, academia, and the vendor community to share ideas, progress, and challenges in achieving performance portability across DOE’s current and future supercomputers. Read More »


Searching for Photocathodes that Convert CO2 into Fuels

April 8, 2019

As scientists search for new materials to enable the photocatalytic conversion of CO2, a Berkeley Lab team used supercomputing resources at NERSC to perform a massive photocathode search, starting with 68,860 materials and screening them for specific intrinsic properties. Read More »

density nofield snapshot 210

When Stars Collide: 3D Computer Simulation Captures Cosmic Event

January 12, 2019

The aftermath of the collision of two neutron stars has been fully captured in a 3D computer model for the first time, thanks to research by University of Alberta astrophysicist Rodrigo Fernández and an international team. Read More »

hybrid perovskite

Revealing Reclusive Recombination Mechanisms in Solar Cell Materials

January 2, 2019

Researchers at UCSB used NERSC supercomputers to better understand key mechanisms behind the solar conversion efficiencies of hybrid perovskites, which could make these materials even more attractive for photovoltaics. Read More »

Screen Shot 2018 12 04 at 5.01.03 PM

Shedding New Light on Luminous Blue Variable Stars

December 7, 2018

Three-dimensional simulations run at NERSC, Argonne and NASA have provided new insights into the behavior of a unique class of celestial bodies known as luminous blue variables - rare, massive stars that can shine up to a million times brighter than the Sun. Read More »


Simulations Run at NERSC Confirm Thermal and Electrical Properties of Superionic Crystals

October 9, 2018

Using a combination of experiments and simulations, materials scientists at Duke University, Oak Ridge National Laboratory and Argonne National Laboratory have sussed out the physical phenomenon underlying the promising electrical and thermal properties of a class of materials called superionic crystals. Read More »


Berkeley Lab, Oak Ridge, NVIDIA Team Breaks Exaop Barrier With Deep Learning Application

October 5, 2018

A team of computational scientists from Berkeley Lab and Oak Ridge National Laboratory and engineers from NVIDIA has, for the first time, demonstrated an exascale-class deep learning application that has broken the exaop barrier. Read More »


HP-CONCORD Paves the Way for Scalable Machine Learning in HPC

October 1, 2018

A team of Berkeley Lab researchers has demonstrated how a new parallel algorithm called HP-CONCORD can help address some of the most challenging problems in data-driven science. Read More »


NERSC, Intel, Cray Harness the Power of Deep Learning to Better Understand the Universe

September 5, 2018

A Big Data Center collaboration between computational scientists at NERSC and engineers at Intel and Cray has yielded another first in the quest to apply deep learning to data-intensive science: CosmoFlow, the first large-scale science application to use the TensorFlow framework on a CPU-based high performance computing platform with synchronous training. Read More »

IMG 4655

Topology, Physics & Machine Learning Take on Climate Research Data Challenges

September 4, 2018

Two PhD students who first came to Berkeley Lab as summer interns in 2016 are spending six months a year at the lab through 2020 developing new data analytics tools that could dramatically impact climate research and other large-scale science data projects. Read More »


Berkeley Lab Researchers Showcase Deep Learning for High Energy Physics at CHEP

August 17, 2018

Steve Farrell, a machine-learning engineer who recently joined NERSC, gave an overview of Berkeley Lab’s expanding expertise in deep learning for science during a plenary talk at the 2018 CHEP conference in July. Read More »


Batteries Get a Boost from ‘Pickled’ Electrolytes

August 1, 2018

Battery researchers at Argonne National Laboratory used computer simulations to help reveal the mechanism behind a common additive known to extend the life of lithium-ion batteries. Read More »

Data Collection WSFA 1024x682

Berkeley Lab-Developed Digital Library is a Game Changer for Environmental Research

July 24, 2018

Developed by Berkeley Lab, NERSC and NCEAS researchers, ESS-DIVE is a new digital archive that serves as a repository for hundreds of U.S. Department of Energy-funded research projects under the agency’s Environmental System Science umbrella. Read More »

ICL SmallDomBlue Horizontal

IceCube Neutrinos Point to Long-Sought Cosmic Ray Accelerator

July 12, 2018

An international team of scientists has found the first evidence of a source of high-energy cosmic neutrinos, ghostly subatomic particles that can travel unhindered for billions of light years from the most extreme environments in the universe to Earth. Read More »

nova graphic 14 0241

NOvA experiment sees strong evidence for antineutrino oscillation

July 3, 2018

The Fermilab NOvA neutrino experiment announced that it has seen strong evidence of muon antineutrinos oscillating into electron antineutrinos over long distances, a phenomenon that has never been unambiguously observed. Image: Sandbox Studio Read More »

exascale building story comparison

New Simulations Break Down Potential Impact of a Major Quake by Building Location and Size

June 28, 2018

A team of Berkeley Lab and LLNL researchers is leveraging powerful supercomputers at NERSC to portray the impact of high-frequency ground motion on thousands of representative different-sized buildings spread out across the California region. Read More »

usaradding tags example

Berkeley Researchers Use Machine Learning to Search Science Data

June 19, 2018

Science Search, a web-based search engine for scientific data is currently being developed by a team of researchers in Berkeley Lab's CRD and NERSC. The team is also developing innovative machine learning tools to pull contextual information from scientific datasets and automatically generate missing metadata tags for each file. As a proof-of-concept, the team is working with staff at the Molecular Foundry, to demonstrate the concepts of Science Search on the images captured by the facility's instruments. Read More »

self healingcement2

Self-Healing Cement Could Be a Boon to Oil & Gas Industry

May 24, 2018

Researchers at Pacific Northwest National Laboratory have developed a unique cement that can repair itself in as little as a few hours; simulations run at NERSC helped them understand how it works. Read More »

glezakou graphene oxygenPNNL

Quarterbacking Catalysts by Positioning Atoms

April 18, 2018

Materials science researchers at Pacific Northwest National Laboratory used experiments involving graphene, along with calculations run at NERSC, to better understand how oxygen atoms bind with graphene and turn graphene into a unique catalytic support. Read More »

CMB lensing filaments 2

Tiny Distortions Reveal Clearer Picture of Strands in Cosmic Web

April 10, 2018

Scientists have decoded faint distortions in the patterns of the universe’s earliest light to map huge tubelike structures invisible to our eyes – known as filaments – that serve as superhighways for delivering matter to dense hubs such as galaxy clusters. Read More »

Screen Shot 2018 03 29 at 2.39.00 PM

Deep Learning at 15 PFlops Enables Training for Extreme Weather Identification at Scale

March 29, 2018

Petaflop per second deep learning training performance on the Cori supercomputer at NERSC has given climate scientists the ability to use machine learning to identify extreme weather events in huge climate simulation datasets. Read More »

majorana shielding crop

Underground Neutrino Experiment Could Provide Greater Clarity on Matter-Antimatter Imbalance

March 26, 2018

A new underground neutrino experiment could provide greater clarity on matter-antimatter imbalance in the Cosmos. And NERSC will be the principal site for data processing and analyses throughout the course of the experiment. Read More »

Hungate Ella Maru web 768x581 1

NERSC Supercomputers Help Researchers Create Reference Catalog for Rumen Microbiome

March 19, 2018

Using supercomputers at NERSC, an international team led by William Kelly, formerly at AgResearch New Zealand’s Grasslands Research Centre, and including scientists at the Joint Genome Institute generated a reference catalog of rumen microbial genomes and isolates cultivated and sequenced from the Hungate1000 collection. Read More »


A Game Changer: Metagenomic Clustering Powered by HPC

March 12, 2018

A team of researchers from Berkeley Lab's CRD and JGI took one of the most popular clustering approaches in modern biology—the Markov Clustering algorithm—and modified it to run quickly, efficiently and at scale on distributed-memory supercomputers. Read More »

Screen Shot 2017 08 17 at 10.52.46 AM 1

Can Strongly Lensed Type Ia Supernovae Resolve One of Cosmology’s Biggest Controversies?

March 1, 2018

Using the SciDAC developed SEDONA code and NERSC supercomputers, astrophysicists at Berkeley Lab and the University of Portsmouth discovered how to control the effects of "micolensing." Armed with this knowledge they believe they will be able to find 1000 strongly lensed Type Ia supernovae in real-time from LSST data--that's 20 times more than previous expectations. Read More »

Screen Shot 2018 01 17 at 10.42.10 AM

The Atomic Dynamics of Rare Magneto-Electric Matter

February 14, 2018

By ricocheting neutrons off the atoms of yttrium manganite (YMnO3) heated to 3,000 degrees Fahrenheit, researchers have discovered the atomic mechanisms that give the unusual material its rare electromagnetic properties. Their work included quantum simulations run at NERSC. Read More »

portermustafajan copy

Physics Data Processing at NERSC Dramatically Cuts Reconstruction Time

February 6, 2018

In a recent demonstration project, physicists from Brookhaven National Laboratory and Berkeley Lab used the Cori supercomputer to reconstruct data collected from a nuclear physics experiment, an advance that could dramatically reduce the time it takes to make detailed data available for scientific discoveries. Read More »

IMG 5707

Delivering Efficient Parallel I/O with HDF5 on Exascale Computing Systems

February 1, 2018

In an interview with Department of Energy's ECP communications team, Berkeley Lab's Suren Byna and Quincey Koziol talk about delivering efficient parallel I/O with HDF5 on exascale computing systems. Read More »


Berkeley Lab Physicists Apply Machine Learning to the Universe’s Mysteries

January 30, 2018

Berkeley Lab physicists and their collaborators have demonstrated that computers are ready to tackle the universe’s greatest mysteries – they used neural networks to perform a deep dive into data simulating the subatomic particle soup that may have existed just microseconds after the big bang. Read More »


Charting a New Course in Organic Solar Cell Design

January 24, 2018

Scientists have pinpointed the source of an ultrafast and efficient process that spawns several carriers of electrical charge from a single particle of light in organic crystals that are integral to this increasingly popular form of solar cells. Read More »

lithium sulfur illustration LBNL

Coupling Experiments to Theory to Build a Better Battery

January 18, 2018

A research team led by Berkeley Lab found that a new lithium-sulfur battery component allows a doubling in capacity compared to a conventional lithium-sulfur battery. Read More »

Screen Shot 2017 12 08 at 10.29.27 AM

The Blob that Ate the Tokamak

January 11, 2018

Scientists at Princeton Plasma Physics Laboratory used NERSC resources to create new simulations that could provide insight into how blobs (bubbles) at the plasma edge in a tokamak reactor behave. Read More »

unnamed 1

Creating a World of Make-Believe to Better Understand the Real Universe

December 14, 2017

Seeing is believing, or so the saying goes. And in some cases, a world of make-believe can help you realize what you’re actually seeing, too. Scientists are creating simulated universes, for example – complete with dark matter mock-ups, computer-generated galaxies, quasi quasars, and pseudo supernovae ­– to better understand real-world observations. Their aim is to envision how new Earth-based and space-based sky surveys will see the universe, and to help analyze and interpret the vast… Read More »


Heavy Metal: How First Supernovae Altered Early Star Formation

December 5, 2017

An international team of researchers ran multi-scale, multi-physics 2D and 3D simulations at NERSC to illustrate how heavy metals expelled from exploding supernovae helped the first stars in the universe regulate subsequent star formation and influence the appearance of galaxies in the process. Read More »


High-Performance Computing Cuts Particle Collision Data Prep Time

November 28, 2017

For the first time, scientists have used high-performance computing to reconstruct the data collected by a nuclear physics experiment—an advance that could dramatically reduce the time it takes to make detailed data available for scientific discoveries. Read More »


NERSC Resources Help Predict New Material for High-Power, High-Efficiency LEDs

November 21, 2017

Using predictive atomistic calculations and high-performance supercomputers at NERSC, University of Michigan researchers found that incorporating the element boron into the widely used InGaN (indium-gallium nitride) material can keep electrons from becoming too crowded in LEDs, making the material more efficient at producing light. Read More »

Screen Shot 2017 11 16 at 3.26.20 PM

Detailed View of Immune Proteins Could Lead to New Pathogen-Defense Strategies

November 16, 2017

Researchers at Berkeley Lab and UC Berkeley used cryo-electron microscopy to capture a high-resolution image of a protein ring called an “inflammasome” as it was bound to flagellin, providing new insight into potential strategies for protection from pathogens. Read More »


Deep Learning for Science: A Q&A with NERSC’s Prabhat

November 10, 2017

In this Q&A with Prabhat, who leads the Data and Analytics Services Group at NERSC and has been instrumental in several projects exploring opportunities for deep learning in science, he talks about the history of deep learning and machine learning and the unique challenges of applying these data analytics tools to science. Read More »


The Mystery of the Star That Wouldn’t Die

November 8, 2017

Supercomputers at NERSC helped an international team of scientists decipher one of the most bizarre spectacles ever seen in the night sky: A supernova that refused to stop shining, remaining bright far longer than an ordinary stellar explosion. What caused the event is puzzling. Read More »

initial state crop

Solving a Magnesium Mystery in Rechargeable Battery Performance

October 19, 2017

Simulations run at NERSC helped a research team at the Joint Center for Energy Storage Research discover a surprising set of chemical reactions involving magnesium that degrade battery performance even before the battery can be charged up. Read More »

neutron star merger caltech credit crop

Scientists Decode the Origin of Universe’s Heavy Elements in the Light from a Neutron Star Merger

October 16, 2017

Scientists have obtained the first measurement of the merger of two neutron stars and its explosive aftermath. Computer simulations at NERSC were critical for understanding the event, which could provide valuable insights into the origin of universe’s heavy elements. Read More »

EESA17 006v21 1

Assessing Regional Earthquake Risk and Hazards in the Age of Exascale

October 4, 2017

Researchers from Berkeley Lab, Lawrence Livermore Lab and UC Davis are using supercomputers at NERSC to build the first-ever end-to-end simulation code to precisely capture the geology and physics of regional earthquakes, and how the shaking impacts buildings. Read More »

so tp df maps 1

A TOAST for Next Generation CMB Experiments

September 19, 2017

Computational cosmologists at Berkeley Lab they recently achieved a critical milestone in preparation for upcoming CMB experiments: scaling their data simulation and reduction framework TOAST to run on all 658,784 Intel Knights Landing Xeon Phi processor cores on the NERSC’s Cori. The team also implemented a new TOAST module to simulate the noise introduced when ground-based telescopes look at the CMB through the atmosphere. Read More »

D3D TeHolland

Multiscale Simulations Help Predict Unruly Plasma Behavior

September 18, 2017

New multiscale gyrokinetic simulations are making it easier to more accurately predict plasma behavior in a tokamak reactor. Read More »


NERSC Supercomputers Help Berkeley Lab Scientists Map Key DNA Protein Complex

September 13, 2017

Using cryo-electron microscopy and supercomputing resources at NERSC, Berkeley Lab scientists have obtained 3-D models of a human transcription factor at near-atomic resolutions. Read More »

argon in hexagonal prism v3 hr

A First: Trapping Noble Gases in 2D Porous Structures at Room Temp

August 21, 2017

A materials science breakthrough at the nanoscale could lead to better methods for capturing noble gases, such as radioactive krypton and xenon generated by nuclear power plants. Read More »

Screen Shot 2017 08 06 at 11.21.41 AM

Simulations Show How Recycled Atoms Boost Plasma Turbulence

August 7, 2017

Using NERSC's Edison supercomputer, physicists at Princeton Plasma Physics Laboratory have modeled how recycled neutral atoms, which arise when hot plasma strikes a tokamak fusion reactor’s walls, increase plasma turbulence driven by what is called the “ion temperature gradient.” Read More »

Screen Shot 2017 08 02 at 10.34.21 AM

New Simulations Could Help in Hunt for Massive Mergers of Neutron Stars, Black Holes

August 2, 2017

Working with an international team, Berkeley Lab scientists have developed new computer models to explore what happens when a black hole joins with a neutron star – the superdense remnant of an exploded star. Read More »


'Hindcasting' Study Investigates the Extreme 2013 Colorado Flood

July 24, 2017

Using a publicly available climate model, Berkeley Lab researchers “hindcast” the conditions that led to the Sept. 9-16, 2013 flooding around Boulder, Colo. and found that climate change attributed to human activity made the storm much more severe than would otherwise have occurred. Read More »

Screen Shot 2017 06 21 at 11.38.24 AM

Record-setting Seismic Simulations Run on NERSC’s Cori System

June 21, 2017

Record-setting seismic simulations run earlier this year on the Cori supercomputer at NERSC were the subject of two presentations at the ISC High Performance conference in Frankfurt, Germany this week. Read More »


Simulations Pinpoint Atomic-level Defects in Solar Cell Nanostructures

June 8, 2017

Heterogeneous nanostructured materials are widely used in various optoelectronic devices, including solar cells. However, the nano-interfaces contain structural defects that can affect the performance of optoelectronic devices. Running calculations at NERSC, researchers found the root cause of the defects in two materials and provided design rules to avoid them. Read More »


Record-breaking 45-qubit Quantum Computing Simulation Run at NERSC on Cori

June 1, 2017

Researchers from ETH Zurich in Switzerland used the Cori supercomputer at NERSC to simulate a 45-qubit circuit, the largest simulation of a quantum computer ever achieved. Read More »

Screen Shot 2017 05 09 at 12.26.51 PM

HPC4Mfg Paper Manufacturing Project Yields First Results

May 15, 2017

Simulations run at NERSC as part of a unique collaboration comprising Berkeley Lab, Lawrence Livermore National Laboratory and an industry consortium could help U.S. paper manufacturers significantly reduce production costs and increase energy efficiencies. Read More »

NERSC manycore fig3

Roofline Model Boosts Manycore Code Optimization Efforts

May 1, 2017

A software toolkit developed in Berkeley Lab's Computational Research Division to better understand supercomputer performance is now being used to boost application performance for researchers running codes at NERSC and other supercomputing facilities. Read More »

iPTF16geu HubbleBig

Rare Supernova Discovery Ushers in New Era for Cosmology

April 20, 2017

With the help of an automated supernova-hunting pipeline based at NERSC, astronomers have captured multiple images of a gravitationally lensed Type 1a supernova and its host galaxy. This detection is currently the only one of its kind, but astronomers believe that if they can find more they may be able to measure the rate of the Universe’s expansion within four percent accuracy. Read More »

Water KNL

Berkeley Lab Researchers Make NWChem’s Planewave “Purr” on Intel’s Knights Landing Architectures

March 21, 2017

Berkeley Lab researchers have successfully added thread-level parallelism on top of MPI-level parallelism in the planewave density functional theory method within the popular software suite NWChem. An important step to ensuring that computational chemists are prepared to compute efficiently on next-generation exascale machines. Read More »


Towards Super-Efficient, Ultra-Thin Silicon Solar Cells

March 16, 2017

Ames Laboratory researchers are developing a highly absorbing ultra-thin crystalline silicon solar cell architecture with enhanced light-trapping capabilities. Read More »

2D Stanene Model 900px 0

Machine Learning Algorithms Enhance Predictive Modeling of 2D Materials

March 2, 2017

Researchers from Argonne National Laboratory, using supercomputers at NERSC, are employing machine learning algorithms to accurately predict the physical, chemical and mechanical properties of nanomaterials, reducing the time it takes to yield such predictions from years to months—in some cases even weeks. Read More »

storm lines 25 100 km

Researchers Catch Extreme Waves with High-Resolution Modeling

February 15, 2017

Using decades of global climate data generated at a spatial resolution of about 25 kilometers squared, Berkeley Lab researchers were able to capture the formation of tropical cyclones, also referred to as hurricanes and typhoons, and the extreme waves that they generate. Read More »

Screen Shot 2017 02 03 at 1.09.49 PM

Machine Learning Accurately Predicts Metallic Defects

February 3, 2017

Using NERSC supercomputers, Berkeley Lab researchers built and trained machine learning algorithms to predict defect behavior in certain intermetallic compounds with high accuracy. This method will accelerate research of new advanced alloys and lightweight new materials for applications spanning automotive to aerospace and much more. Read More »

mag breakv2

Simulations Reveal Invisible Chaos of Superluminous Supernovae

February 1, 2017

To better understand the physical conditions that create superluminious supernova, astrophysicists are running 2D simulations of these events using supercomputers at NERSC and the Lawrence Berkeley National Laboratory (Berkeley Lab) developed CASTRO code. Read More »

80516 tribology 850x850

Diamond Shines in Molecular Dynamics Simulations

January 6, 2017

For centuries diamonds have been revered for their strength, beauty, value and utility. Now a team of researchers from Argonne National Laboratory, running molecular dynamics calculations at the Argonne Leadership Computing Facility and NERSC, are finding additional reasons to celebrate this complex material—and it has nothing to do with color, cut or clarity. Read More »