Limit global warming to 1.5°C and halve the land ice contribution to sea-level rise this century.
In 2021, Berkeley Lab will welcome a record 11 Department of Energy Computational Science Graduate Fellows (CSGF). Drawing from diverse scientific and engineering disciplines, the fellows share a common interest in using computing in their research.
Didem Unat, Berkeley Lab’s 2012 Luis Alvarez Fellow in Computing Sciences, is the 2021 ACM SIGHPC Emerging Woman Leader in Technical Computing award winner.
Each summer, Berkeley Lab hosts dozens of college students through the Computing Sciences Summer Program, and this year Josh Geden had the opportunity to work with NERSC and CRD on a variety of projects related to Jupyter.
CAMERA mathematicians have developed an algorithm to decipher the rotational dynamics of twisting particles in large complex systems from the X-ray scattering patterns observed in X-ray photon correlation spectroscopy experiments.
Talita Perciano, a research scientist in CRD’s Machine Learning and Analytics Group, is being recognized for providing exceptional mentorship to students participating in various internships provided by Berkeley Lab.
To position Berkeley Lab among the premier institutions for data science research, the Computational Research Division (CRD) will be reorganized to form two new divisions, effective October 1, 2021.
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 Data Science and Technology (DST) Department delivers innovative methods for solving data-intensive science problems. DST activities range from basic and applied research to deployment of software tools.
