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gpCAM, a software tool for autonomous labs of the future, has been honored with a 2024 R&D 100 Award.
A new paper describes how an innovative ML approach can enhance the prognosis and understanding of traumatic brain injury.
Can the open-ended Category 5 communicate the risk of hurricane damage in a warming climate?
As adoption of the Neurodata Without Borders standard grows, training and data sharing opportunities broaden
A leading expert in quantum computing, Bert de Jong discusses why quantum computing matters, where it is today, and the potential of this emerging technology to change science.
As Berkeley Lab's newest Hopper Postdoctoral Fellow, Yotam Yaniv will focus on developing randomized numerical linear algebra methods. His work aims to create faster, more efficient, and sustainable algorithms that can significantly reduce computational energy consumption, particularly at scale.
FerroX, a new open-source, 3D simulation framework, could advance record-breaking energy efficiency in microelectronics.
AMCR Staff Scientist Jeffrey Donatelli has been awarded a 2024 Department of Energy Early Career Research Program award. With this award, he will develop new computational methods for analyzing experimental data.
As Berkeley Lab's newest Alvarez Fellow, Pinchen Xie will be working on expanding the scope of machine learning-assisted multiscale modeling, essentially attempting to describe rare but important atomic behaviors that have not been simulated with the accuracy of quantum mechanics.
gpCAM, a software tool for autonomous labs of the future, has been honored with a 2024 R&D 100 Award in the software/services category.
Lehigh University and Berkeley Lab researchers have developed an accelerating sparse accumulation (ASA) architecture, specialized hardware that enables faster computation on data sets with many zero values.
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.
