Berkeley Lab Computing Sciences

@cs.lbl.gov

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The Computing Sciences Area at Berkeley Lab develops cutting-edge computational methods, leverages HPC, and applies data science to drive innovation. Our four divisions—AMCR, SciData, NERSC, and ESnet—advance research in AI, math, energy, and more.

A schematic diagram divided into two main sections illustrating a computational workflow, with Quantum measurements on the left and Classical postprocessing on the right. The left section displays a series of quantum circuit diagrams at increasing time steps, featuring green blocks labeled Hamiltonian simulation and blue blocks labeled Shallow shadows, which output histograms and color-coded data vectors. The right section shows the flow of classical data processing, starting at the top with multi-layered, colorful grids representing data matrices being used to compute a central system matrix. An arrow points down from this matrix to a diagram labeled Spectral decomposition, which shows data points plotted around the perimeter of a circle to represent eigenvalues. A final arrow points left to a line graph labeled Energy error, illustrating the error rates for both an excited state and a ground state steadily decreasing as the number of data points increases.
A comparative infographic showcasing the results of different generative AI models in creating scientific images. The infographic is divided into three vertical sections, labeled 'Ceramics,' 'Plants,' and 'Rocks.' Each section contains a grid of images comparing a 'Raw' scientific source image to AI-generated versions created by models including DCGAN, StyleGAN, DALL-E2, and DALL-E3. The 'Ceramics' section shows microscopic views of packed particles, the 'Plants' section displays images of seedlings and root systems, and the 'Rocks' section features grayscale micro-scans of rock sediment, illustrating the varying success of different AI models in reproducing scientifically accurate images.
A digital graphic with a blue circuit board background. On the left is a large circular badge featuring the text “HPCWIRE 2025 Readers’ & Editors’ Choice Awards.” On the right, two images are stacked: above, a scientific visualization with blue and orange isosurfaces; below, a person in a light blue shirt holding a molecular model, set in front of a DNA helix graphic and the word "DOUDNA" written vertically along the left edge.
A person wearing a light-colored button-up shirt and a headset microphone gives a presentation while holding a remote control, with geometric red line designs featured in the background.
A person wearing a formal black suit and tie stands against a plain light-colored background. The individual has light brown hair styled neatly. The image captures the upper body, showcasing a professional appearance suitable for a business or formal setting.
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.
A person wearing a colorful floral-patterned shirt is standing in front of a light blue wall. The shirt features various shades of red, yellow, and green flowers against a dark background. The individual appears to be in a well-lit indoor environment, with soft natural light illuminating the scene.
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.
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.
A person seated at a computer desk is focused on their screen while another person stands beside them, pointing at the monitor. The desk is equipped with two large computer monitors displaying various lines of code and data visualizations. The environment appears to be a collaborative workspace, emphasizing teamwork in a technical setting.
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.
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.
A group of people are gathered around a table in a modern classroom or collaborative workspace, working together on laptops. Some individuals are seated while others are standing and engaging in discussion. In the background, a large screen displays a digital interface, and the room features bright lighting and patterned ceiling panels. The atmosphere appears focused and collaborative.
A person standing outdoors in front of tall green trees, wearing a dark crew-neck shirt in natural sunlight.
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.
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.
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.
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.
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.
A man with glasses and a beard, wearing a dark blazer and a button-up shirt, sits on a white armchair while speaking and gesturing with both hands. He appears engaged in a discussion on stage, with a gray curtain backdrop and red accent lighting. A small table with a potted plant and water bottles is visible beside him.
A large group of scientists and researchers gather for a group photo in front of Shyh Wang Hall at Berkeley Lab. The participants, diverse in age and background, stand together on a sunny day, smiling at the camera. The modern glass and metal facade of the building serves as the backdrop, with the building name and number "59" visible above the entrance.
Two individuals are posing for a photo at an event. On the left, a smiling man in a brown blazer and glasses is holding an award. On the right, a woman in a beige suit and glasses is shaking his hand while also smiling slightly. Both appear to be in a formal setting with a plain backdrop.
A sleek, futuristic IBM quantum computer system displayed in a minimalistic, glass-enclosed environment with polished concrete floors and overhead industrial lighting. The IBM logo is visible on the upper left corner of the enclosure.
Portrait of Stefan Wild, smiling and wearing a patterned shirt, set against a neutral gray backdrop.
People standing on stage in front of a blue curtain accepting an award from the Secretary of Energy, Jennifer Granholm.
Two women engineers work with electrical equipment
Graphic of Berkeley Lab's Wang Hall at sunset with UC Berkeley and Campanile in the background and fireworks in the sky.
Animation showing molecules represented as color-coded dots. The image illustrates how EScAIP optimizes reaction paths involving complex structures with many atoms, highlighting the speed and low memory usage critical to its efficiency. This method is under development by Samuel Blau and colleagues using data from the Open Catalyst Project.
Vancouver city skyline with mountains in the background and the words Berkeley Lab @ NeurIPS2024 above it.
A person with a laptop in their Lab; the San Francisco Bay and Golden Gate Bridge are in the background.
A person with a microphone headset presenting in the Department of Energy Booth at SC24.
NESAP Roundtable. People sitting around a round black table talking.