Some 40 early and mid-career applied mathematicians from national labs across the country came together at Berkeley Lab to envision the future of machine learning and data analytics. The gathering also sowed the seeds for future collaborations. » Read More
Dan Martin and colleagues studied the impact of the melting Antarctic icesheet on sea-level rise by running high-resolution, thousand year-long BISICLES ice sheet models. » Read More
The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures.
The Institute for the Design of Advanced Energy Systems (IDAES) has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems. » Read More
A new group in Berkeley Lab’s Computational Research Division (CRD) aims to tap into the lab's expertise in both computing and biosciences, crossing organizational lines to create an integrated team to develop new tools for addressing a range of scientific problems. » Read More
Shreyas Cholia has been invited by the National Academies of Sciences, Engineering, and Medicine to serve as a member for the Realizing Opportunities for Advanced and Automated Workflows in Scientific Research committee.
On May 1, a group of students from UC Merced, all participants in the National Science Foundation’s Interdisciplinary Computational Graduate Education program, visited Berkeley Lab to learn about the many ways computing can be applied to research problems.
Early to mid-career national lab mathematicians met at Berkeley Lab to discuss challenges in machine learning and data analytics and to seed new collaborations.
Researchers in Berkeley Lab's Computational Research Division are applying deep learning methods and data analytics to electronic health record data to help the Veterans Administration address a host of medical and psychological challenges affecting many of the nation’s 700,000 military veterans.
The Proactive Data Containers project team at Berkeley Lab is developing object-oriented I/O services designed to simplify data movement, data management, and data reading services on next-generation HPC architectures.
IDAES has released the first open-source version of its next-generation computational framework and model library, created to optimize the design of process systems engineering solutions used to model advanced energy systems.
The Applied Mathematics Department develops advanced mathematical models and efficient computational algorithms for solving scientific and engineering problems of interest to the Department of Energy, including in particular those related to energy and environment.
The Computer Science Department performs research on Computer Architectures, Computer Languages, Systems Software, Performance, and Algorithms.
The mission of the Computational Science Department is to perform innovative research that enhances high-performance computational science application codes used in scientific discovery across a broad range of scientific disciplines.
The mission of the Computational Science Department is to perform innovative research that enhances high-performance computational science application codes used in scientific discovery across a broad range of scientific disciplines.
