Jackie Yao recently joined CRD as Berkeley Lab’s 2019 Luis W. Alvarez Fellow in Computing Sciences. Her research is focused on developing unprecedented numerical modeling to solve complex multiphysics problems involving electromagnetics, nonlinear magnetics and acoustics. » Read More
The Neurodata Without Borders: Neurophysiology (NWB:N) project, led by Berkeley Lab in collaboration with the Allen Institute for Brain Science and multiple neuroscience labs, has been selected for a 2019 R&D100 Award by R&D World magazine. » Read More
A team of Berkeley Lab computer scientists is working with the California Department of Transportation and UC Berkeley to use high performance computing and machine learning to help improve Caltrans’ real-time decision making when traffic incidents occur. » Read More
Berkeley Lab's Computational Research Division was featured in a video at the ICIAM19 conference. Select "Read More" to watch on YouTube. » Read More
Through DOE's HPC4Mfg program, PPG - one of the world's largest paint manufacturers - is collaborating with applied mathematicians in the Computational Research Division on computational models that will help optimize paint design and application to reduce energy consumption. » Read More
Frank Olken, a data scientist who spent 36 years at Berkeley Lab tackling the challenge of big data before it became Big Data, died Oct. 18 at age 67. He also worked two stints as a National Science Foundation (NSF) program director in Arlington, Va.
Jackie Yao recently joined CRD as Berkeley Lab’s 2019 Luis W. Alvarez Fellow in Computing Sciences. Her research is focused on developing unprecedented numerical modeling to solve complex multiphysics problems involving electromagnetics, nonlinear magnetics, and acoustics.
Berkeley Lab developed Neurodata Without Borders: Neurophysiology, a data standard for neurophysiology research and a software ecosystem that allows neuroscientists to share, archive, use, and build tools for analyzing data, is gaining traction in the neuroscience community.
A team of Berkeley Lab computer scientists is working with the California Department of Transportation and UC Berkeley to use high performance computing and machine learning to help improve Caltrans’ real-time decision making when traffic incidents occur.
Led by Berkeley Lab in collaboration with the Allen Institute for Brain Science and multiple neuroscience labs, the NWB:N project has created a data standard and software ecosystem that is transforming neurophysiology research.
Zhe Bai, a postdoctoral scholar in the Computational Research Division, has been selected by the Women in HPC organization as a 2019 Fellow.
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.
