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Full-scale, biophysically accurate simulations run at NERSC used machine learning and observational data to show which neurons generate the recorded signals.
A new project aims to support research related to wildland fires with a searchable collaborative data repository featuring advanced search capabilities and uniform standards
Berkeley Lab's Advanced Quantum Testbed team demonstrates a three-qubit native quantum gate with high fidelity
A team of researchers from Berkeley Lab and UC Irvine has developed deep-learning algorithms designed to automate the quality control and assessment of new battery designs for electric cars.
Berkeley Lab error mitigation approach helps quantum computers level up
Researchers at the Advanced Quantum Testbed (AQT) at Berkeley Lab, in partnership with the startup Super.tech (acquired by ColdQuanta), demonstrated how a smart compiler specifically tailored for superconducting hardware can optimize circuits and networks and execute less error-prone quantum algorithms such as Quantum Approximate Optimization Algorithm (QAOA).
After working at Berkeley Lab as a Sustainable Research Pathways participant, Sofia Gomez realized she could have a career in research.
Professor Tanzima Islam credits her participation in the Sustainable Research Pathways at Berkeley Lab program with paving the way for her DOE Early Career Award.
A team of researchers at Berkeley Lab has found the origin of cortical surface electrical signals in the brain and discovered why the signals originate where they do.
In a keynote at the 25th annual Workshop on Job Scheduling Strategies for Parallel Processing, Lavanya Ramakrishnan explained that new workflow characteristics coming from data impact the design of next-generation infrastructure.
Bert de Jong, acting head of Berkeley Lab’s Computer Science Department, has been promoted to principal editor of Computer Physics Communications (CPC), an international journal and program library for computational physics and physical chemistry.
SciData transforms data-driven discovery and understanding through the development and application of novel data science methods, technologies, and infrastructures with scientific partners.
The Applied Mathematics & Computational Research Division conducts research and development in mathematical modeling and simulation, algorithm design, data storage, management and analysis, computer system architecture, and high-performance software implementation.
The Center for Advanced Mathematics for Energy Research Applications (CAMERA) is an integrated, cross-disciplinary center aimed at inventing, developing, and delivering the fundamental new mathematics required to capitalize on experimental investigations at scientific facilities.
The Quantum Systems Accelerator is catalyzing national leadership in quantum information science to co-design the algorithms, quantum devices, and engineering solutions needed to deliver certified quantum advantage in Department of Energy scientific applications. Berkeley Lab leads the center. Sandia National Laboratories is the lead partner.
