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Berkeley Lab Computing Sciences @cs.lbl.gov · 21d

Meet GenomeOcean: #AI that “speaks” DNA! 🌊🧬 Developed @jgi.doe.gov, this generative AI model is trained on 220+ terabases of #environmental metagenomic data using @nersc.bsky.social #HPC. With 4 billion parameters, it designs novel microbial DNA sequences ➡️ bit.ly/GenomeOcean

@berkeleylab.lbl.gov

GenomeOcean Leverages AI to Decode Nature’s Secret Language | Joint Genome Institute

Trained on environmental data, a new JGI tool more accurately facilitates microbial genome discoveries.

bit.ly

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Berkeley Lab Computing Sciences @cs.lbl.gov · Sep 5

Meet Alex Morehead, @berkeleylab.lbl.gov's 2025 Hopper Fellow! He will develop a foundational #AI model to predict molecular properties & generate new molecules, leveraging @nersc.bsky.social #HPC & open-science collaborations: bit.ly/AM_Hopper

🔗 Apply to be a 2026 #HopperFellow: bit.ly/HopperLBNL

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Berkeley Lab Computing Sciences @cs.lbl.gov · Sep 3

DYK @berkeleylab.lbl.gov builds tools to help researchers write faster, more reliable #Fortran —the language powering #supercomputers for decades?

✅ Caffeine: bit.ly/FiatsLBNL

✅ Julienne & Assert: bit.ly/JulienneAssert

✅ Fiats: bit.ly/FiatsLBNL

#AI #HPC #Science #Research #Engineering #Computing

A graphic representation of a coffee cup with layered components illustrating a software architecture. The layers from top to bottom include: 'Compiled Application,' 'PRIF,' 'Caffeine,' and 'GASNet-EX.' The base of the cup is labeled 'System Runtime & Memory Technologies,' indicating the foundational technologies that support the application.

An ASCII art representation of the word 'FIATS' created using various keyboard characters, with the text 'Fiats: Functional Inference and Training for Surrogates' displayed below. The design emphasizes a playful and creative approach to presenting the name of the software framework focused on functional inference and training.

An illustration featuring two interlocking gears labeled 'Julienne' in teal and 'Assert' in dark blue. Surrounding the gears are various design elements, including binary code (010), lines of code, checkboxes, and abstract shapes, symbolizing software development and code reliability. The overall design emphasizes the complementary relationship between the two frameworks in enhancing Fortran code reliability.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Aug 26

Unlock the potential of #Fortran, the pioneering programming language still vital today!

Join @berkeleylab.lbl.gov’s Damian Rouson as he dives into Fortran 2023, discussing its significance in #HPC and sharing practical tips for optimizing your research software: go.lbl.gov/hirse-summer...

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Berkeley Lab Computing Sciences @cs.lbl.gov · Aug 22

🎉 Huge congratulations to @berkeleylab.lbl.gov's John Shalf for being named one of #HPCwire’s 35 Legends Class of 2025 — recognized as a Champion of HPC–Hyperscale Convergence!

John’s pioneering work is helping advance scientific computing in the post-Moore’s Law era.

🔗 bit.ly/HPCWireJS

#HPC

A graphic celebrating John Shalf's recognition as one of HPCWire's "35 Legends" for 2025. The image features the text "HPC Wire 35 Legends 2025" prominently at the top, with John Shalf's name displayed below it. The caption reads "Champion of HPC-Hyperscale Convergence." The background includes a stylized digital design, suggesting themes of technology and computing.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Aug 21

In Nature News & Views, @berkeleylab.lbl.gov's Peter Nugent and Harvard CFA’s Anya Nugent discuss a groundbreaking discovery by S.Schulze et al.: the first observation of a silicon- and sulfur-rich layer in a massive star, expelled before #Supernova 2021yfj.

Read more: rdcu.be/eBzj6
#astrophysics

An illustration depicting the structure of a massive star at the end of its life. The top half shows the layers of the star: an iron core at the center, surrounded by a silicon-rich layer, and an outer layer labeled as "expelled silicon-sulfur." The bottom half illustrates the supernova explosion, with bright bursts of light radiating outward, indicating the violent event. At the center of this explosion is a neutron star or black hole, representing the remnant core left after the supernova.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Aug 20

DYK #AI + @nersc.bsky.social #HPC can help save lives?

@berkeleylab.lbl.gov researchers developed #ML models to detect health risks earlier. Collaborating with #VA, they analyzed data to uncover key risk factors for suicide and obstructive sleep apnea among U.S. #veterans: bit.ly/4oMPj3y via HPE

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Berkeley Lab Computing Sciences @cs.lbl.gov · Jul 22

Did you know a new #MachineLearning framework developed @berkeleylab.lbl.gov dramatically accelerates #battery lifespan predictions? By combining expert insights with advanced #AI, it delivers accurate results with far fewer experiments—saving time and resources. Learn more: bit.ly/AI_Battery

#HPC

Illustration showing a machine learning framework for battery testing: a Gaussian Process model visualizes battery energy predictions across cycles and parameters, with model entropy highlighting areas of uncertainty for new experiments; additional graphics show cell testing results, predicted energy decline, and a gauge indicating battery C-rate from low to high.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Jul 21

Ever wondered how fluids twist and loop deep underground?

With @berkeleylab.lbl.gov’s Chombo-Crunch and Dept of Energy’s exascale #supercomputers, scientists can now simulate subsurface flow in unprecedented detail—advancing #geothermal #energy, #water, and #battery research: bit.ly/ChomboCrunch

3D simulation of fluid flow through porous dolomite. The rectangular volume shows color gradients from orange and green (indicating fluid movement) on the left, fading to dark blue on the right. White regions highlight high-flow or empty spaces. Simulation data and time step are labeled in the upper left corner.

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Reposted by Berkeley Lab Computing Sciences

Berkeley Lab @berkeleylab.lbl.gov · Jul 9

Computational researcher Revathi Jambunathan knows that better understanding pulsars, the spectacular “cosmic lighthouses” of the universe, will lead to better particle accelerators and help us achieve the dream of fusion energy.

Learn more in this video! 🎥 @cs.lbl.gov 🧪

Basics2Breakthroughs: Simulating pulsars for insights into fundamental physics

Formed from collapsed stars, pulsars are tiny astronomical objects that emit stunning, twin beams of light from each pole. Researcher Revathi Jambunathan is developing…

vimeo.com

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Berkeley Lab Computing Sciences @cs.lbl.gov · Jul 2

A 2013 DOE Early Career Award let Aydin Buluç develop new graph algorithms and scalable computing, speeding discoveries from protein folding to genome assembly.

Now at @berkeleylab.lbl.gov, he advances sparse computations and cross-disciplinary science: bit.ly/LBL_ab

#machinelearning #ai #science

Aydin Buluç: Then and Now / 2013 Early Career Award Winner

To solve challenges with ever-larger data sets, Aydin Buluç develops algorithms to increase computers’ efficiency and reduce run time.

www.energy.gov

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Berkeley Lab Computing Sciences @cs.lbl.gov · Jun 11

@berkeleylab.lbl.gov had a great time teaming up with experts from Livermore Lab and @uhmanoa.bsky.social, sharing supercomputing know-how and exploring advanced energy research with future computational scientists.

Learn more: bit.ly/UHM_lbl

#HPC #supercomputing #energy @nersc.bsky.social

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Six people stand in a row in front of a large screen displaying a news article titled "DOE Announces New Supercomputer Powered by Dell and NVIDIA to Speed Scientific Discovery." The setting appears to be a modern conference or classroom space with glass windows and bright lighting.

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Berkeley Lab Computing Sciences @cs.lbl.gov · May 27

Meet Mark Fornace, @berkeleylab.lbl.gov's 2025 Alvarez Fellow in Computing Sciences. He’s using advanced #mathematics to unlock new ways for scientists to design and analyze chemical kinetics and #thermodynamics—driving breakthroughs in #bioengineering and beyond.

Learn more: bit.ly/Alvarez_MF

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Berkeley Lab Computing Sciences @cs.lbl.gov · May 19

The DELERIA project is set to revolutionize #NuclearScience! @berkeleylab.lbl.gov & #OakRidgeNationalLab experts are building a data pipeline to connect detectors and supercomputers for real-time analysis—enabling faster insights and discoveries: bit.ly/DELERIA

@esnet.bsky.social @nersc.bsky.social

Composite image showing a nuclear physics detector (left) and a supercomputer (right), overlaid on a background of binary code, representing the connection between experimental data collection and high-performance computational analysis.

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Reposted by Berkeley Lab Computing Sciences

HPC Guru @hpcguru.bsky.social · May 15

Five Ways Berkeley Lab's NERSC is Revolutionizing Scientific Research

newscenter.lbl.gov/2025/05/15/f...

#HPC #AI @nersc.bsky.social
@berkeleylab.lbl.gov @cs.lbl.gov

Five Ways Berkeley Lab's NERSC is Revolutionizing Scientific Research

newscenter.lbl.gov

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Berkeley Lab Computing Sciences @cs.lbl.gov · May 14

DYK Open Molecules 2025—an unprecedented molecular simulation dataset—was just released? Co-led by @berkeleylab.lbl.gov & #Meta, this resource could transform #MachineLearning for real-world #chemistry, #biology, & #energy technologies: bit.ly/OMol25

#AI #MaterialScience #Science #Research #HPC

Computational Chemistry Unlocked: A Record-Breaking Dataset to Train AI Models has Launched - Berkeley Lab

Scientists will finally be able to simulate the chemistry that drives our bodies, our environment, and our technologies.

bit.ly

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Berkeley Lab Computing Sciences @cs.lbl.gov · May 12

We had an exciting week at the first #HPSF Conference in Chicago! 🌌

@berkeleylab.lbl.gov’s AMReX framework was spotlighted, with 17 app teams sharing breakthroughs in fluid dynamics, turbulent flow, #microelectronics, #AI-enhanced modeling & more.

About our involvement with HPSF: bit.ly/HPSFlbnl

Presenter holding a microphone stands next to a projection screen displaying a slide titled "The role of simulations in cosmology," which includes diagrams and text about cosmology models, simulations, and mock universes.

Presenter stands in front of a projection screen displaying a slide titled "Random walkers in a potential field," which includes mathematical equations, a 3D plot, and a list of application areas such as chemistry, physics, biology, and social sciences.

Presenter stands at a podium with a microphone in front of a projection screen displaying a simulation visualization of two wind turbines in turbulent atmospheric flow, with a color bar indicating velocity.

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Berkeley Lab Computing Sciences @cs.lbl.gov · May 1

At @berkeleylab.lbl.gov, we're advancing scientific discovery by integrating #AI, #automation, and data processing. Our #robotic labs, AI-driven lasers, and #supercomputers enhance research efficiency and support reliable energy solutions.

Learn more:
📽️ bit.ly/LBNL_AIvid
📰 bit.ly/LBNL_AI_list

A robotic arm is positioned in a high-tech laboratory setting, surrounded by transparent glass panels. The robot is engaged in materials testing, with various containers organized on a circular platform in the foreground. On the right, shelves hold additional sample jars, highlighting the automated setup designed for efficient scientific research. Bright overhead lights illuminate the workspace.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Apr 30

Exciting news! @berkeleylab.lbl.gov's new “Science Power-Up" series starts with a conversation featuring Bert de Jong, Director of the Department of Energy’s Quantum Systems Accelerator.

Learn how we’re harnessing #quantum tech to tackle next-gen science & energy challenges: bit.ly/QSAspu
#Quantum

Science Power-Up: Rewriting the Rules with Quantum

At Berkeley Lab, scientists are rewriting the rules of computing, chemistry, materials science, and more through the promise of quantum information science. Bert de Jong, Director of the Quantum Systems Accelerator, a DOE National Quantum Information Science Research Center, shares how quantum computers, sensors, and networks are poised to tackle our most complex energy challenges. Collaborating with hundreds of researchers across institutions pushing the limits of hardware and algorithms, quantum research at Berkeley Lab is forging the future of breakthroughs. This episode is the first in our Science Power-Up series, featuring experts across Berkeley Lab on research topics shaping society today, including artificial intelligence, microelectronics, quantum and more. https://www.lbl.gov/research/quantum/ More Berkeley Lab news: http://newscenter.lbl.gov Subscribe: https://youtube.com/berkeleylab Berkeley Lab Social Media: http://socialmedia.lbl.gov

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Berkeley Lab Computing Sciences @cs.lbl.gov · Apr 15

DYK @berkeleylab.lbl.gov researchers have developed a faster method for topological #DataAnalysis, significantly improving efficiency in uncovering hidden structures in complex datasets?

This breakthrough has the potential to transform data analysis in fields like #AI & #bio: bit.ly/TopOpt_LBNL

Taking Big Steps, Berkeley Lab Scientists Shape Improvements in Topological Optimization - Computing Sciences

Berkeley Lab scientists have developed a faster method for topological data analysis, improving efficiency in uncovering hidden structures in complex datasets. This breakthrough could transform data a...

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Berkeley Lab Computing Sciences @cs.lbl.gov · Mar 27

🎉 Congrats to @berkeleylab.lbl.gov's Stefan Wild! 🎉

He has been named a 2025 Society for Industrial and Applied Mathematics ( #SIAM ) Fellow for his significant contributions to derivative-free optimization and its applications: bit.ly/WildSIAM25

#AI #hpc #appliedmath #math #engineering #science

AMCR’s Stefan Wild Named 2025 SIAM Fellow - Computing Sciences

Stefan Wild has been named a 2025 SIAM Fellow. This recognition celebrates his groundbreaking work in derivative-free optimization, which has made significant impacts across multiple scientific and en...

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Berkeley Lab Computing Sciences @cs.lbl.gov · Mar 21

Postdocs are the backbone of @berkeleylab.lbl.gov innovations & scientific discovery, playing a pivotal role in our team-science ecosystem.

Learn more about their cutting-edge research from the 2025 Postdoc Symposium. Videos are now available: bit.ly/LBNLcsPDS25

#CS #Datascience #AI #HPC #Quantum

A collage of three postdoctoral researchers presenting their work at the Berkeley Lab Computing Sciences Postdoc Symposium. The first researcher is gesturing with their hands while speaking. The second researcher is standing at a podium, explaining their research with hand movements. The third researcher is wearing a black jacket in front of a screen displaying a presentation slide.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Mar 13

🌟Exciting News!🌟 @berkeleylab.lbl.gov is now an institutional member of the High Performance Software Foundation! This membership advances high-performance #software stacks across industry, academia, and government, meeting the demand for portable and scalable solutions in #HPC + #AI bit.ly/HPSFlbnl

The Perlmutter supercomputer at NERSC features colorful panels with vibrant cosmic imagery, and the name “Perlmutter” is prominently displayed. The panels include images of scientific research and collaboration set against a backdrop of stars and galaxies.

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Berkeley Lab Computing Sciences @cs.lbl.gov · Mar 12

⚡️How will next-gen #microelectronics shape the future of #AI?⚡️

Last week, @berkeleylab.lbl.gov’s John Shalf joined experts at the Special Competitive Studies Project’s AI+ Compute & Connectivity Summit to explore the tech driving large-scale AI systems.

🎥 Watch: bit.ly/SCSPaicompute #HPC

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Reposted by Berkeley Lab Computing Sciences

Energy Sciences Network @esnet.bsky.social · Mar 7

#Confab25, @esnet.bsky.social's largest user meeting, will gather domain scientists, network engineers, DOE & NatLab VIPs, ESnet + user-facility staff to co-design the future of integrated science. Register now to strategize & network w/ this cross-cutting group: confab25.es.net/register

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