Skip to main content

News

Meet EcoBOT: The Autonomous Lab Standardizing Plant-Microbe Research

A robotic arm in a high-tech laboratory holds up a small, clear plastic container that houses a single green plant seedling. Below the raised container is an out-of-focus grid of many similar clear plastic boxes. The scene is illuminated by bright, cool blue and green lights that reflect off the plastic and metallic machinery, giving it an automated, futuristic appearance.

Scientists Develop Predictive Roadmap to Boost Performance in Next-Gen Spintronics

Scanning electron microscope (SEM) image of a chiral 2D metal halide perovskite material synthesized with acetonitrile. Chiral perovskite films made with acetonitrile respond strongly to circularly polarized light.

New Hybrid Approach Bypasses Hardware Limits to Unlock Complex Quantum Simulations

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.

New AI-Powered Hybrid Simulation Reveals How Electrons Drive Chemical Reactions in Liquids

A scientific diagram showing a four-step simulation. Step (a) shows a system of water molecules with an excess electron. Step (b) shows a simplified representation of a single water molecule. Step (c) is a heat map of the system's electrical potential. Step (d) shows the final calculated probability cloud of the electron, derived from the potential in (c).

Unlocking the Power of Quantum Computing with Practical Benchmarking Tools

Close-up view of a quantum computer’s superconducting processor housed within a cylindrical, gold-colored cryogenic chamber, featuring multiple stacked plates connected by intricate wiring and metallic rods.

Software Highlight: Fiats Brings Deep Learning to Fortran at Supercomputer Scale

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.

Software Highlight: Julienne and Assert Strengthen Fortran Code Reliability

Software Highlight: Caffeine Supercharges Fortran for the Exascale Era

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.

Berkeley Researchers Receive IEEE Best Paper Award for Exascale Software Insights

The image features two individuals side by side. On the left, a person with shoulder-length dark hair is wearing a black, textured top and stands in front of a whiteboard filled with scientific equations and diagrams. On the right, another person with a shaved head is wearing a gray hoodie. The background appears to be a dimly lit environment, possibly an indoor space.

Berkeley Researchers Advance Fluid Flow Modeling for Better Energy Production

Simulation showing a 3D model of fluid flow through fractured subsurface dolomite, with color indicating different regions or properties within the flow.

Machine Learning Breakthrough Transforms Battery Lifespan Prediction

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.

Science Highlight: Breakthrough Computing Method Speeds Up Big Calculations for Science and Engineering

Color-coded matrix diagram illustrating the H2 matrix representation of a 3D Boundary Element Method (BEM) matrix, with red blocks indicating fully formed matrix sections and green blocks showing low-rank compressed regions in a nested structure.
Computing Sciences logo

Connect

Our Organization