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AmeriFlux datasets provide the crucial linkage between organisms, ecosystems, and process-scale studies at climate-relevant scales of landscapes, regions, and continents, which can be incorporated into biogeochemical and climate models. When viewed as a whole, the network observations enable scaling of trace gas fluxes (CO2, water vapor) across a broad spectrum of times (hours, days, seasons, years, and decades) and space. AmeriFlux observations have been instrumental in defining the… Read More »

The Materials Project

The Materials Project is a high-throughput framework developed by MIT and LBNL and subsequently extended by collaborators at the Lawrence Berkeley Laboratory and National Energy Research Scientific Computing (NERSC). This Center, funded by the DOE BES Predictive Theory and Modeling for Materials and Chemical Sciences program, will extend the Materials Project with high-throughput calculations, state-of-the-art electronic structure methods as well as novel data mining algorithms for surface,… Read More »

Computer Security Research

The Data Science and Technology Department is an active participant in a number of projects in the arena of computer security.  Research sponsors have included DOE's ASCR program, DOE's CEDS program, DOE NNSA, NSF's SaTC program, and NSF's OAC, among others.  Historically, projects have had a very broad cross-section of foci, though current projects tend to focus on security in high-performance computing environments, and security of cyber-physical systems, notably in the energy… Read More »

Carbon Capture Simulation Initiative

The CCSI Toolset will accelerate the development and deployment cycle for bringing new Carbon Capture and Storage (CCS) technologies to market. Integrated Data Frameworks (and other Data Science & Technology Department) personnel are leading the Integration Framework and Software Development Support toolset development tasks. These tasks are implementing the communication between the various tools and well as data management, visualization, and software engineering. PI: Deb Agarwal… Read More »

Cybersecurity for Energy Delivery Systems Research and Development

The Berkeley Lab Data Science and Technology Department is an active participant in a number of projects in the arena of cybersecurity for energy delivery systems.  Recently, this work has been funded largely via DOE's Cybersecurity for Energy Delivery systems program. These projects include collaborations with academic, vendor, and utility partners.  LBNL's work in this space emphasizes both its historical role in developing, deploying and testing the Zeek (Bro) Network Security Monitor, as… Read More »

Toward a Hardware/Software Co-Design Framework for Ensuring the Integrity of Exascale Scientific Data

Scientific data today is at risk due to how it is collected, stored, and analyzed in highly disparate computing systems. How can we make claims about the integrity of data as it traverses open, international networks and via instruments and systems with widely varying reliability and provenance? Numerous causes for integrity loss are possible, including bugs in existing computational pipelines, network events, user error, unintentional system effects or even intentional attack by outsiders… Read More »

HPC and Scientific Networking Security

The Data Science and Technology Department is an active participant in a number of projects in the arena of security for scientific, high-performance computing systems and high-bandiwdth research and education networks.  Research sponsors have typically included DOE's ASCR program, NSF's SaTC program, and NSF's OAC, among others.LBNL has had a leadership role in security in scientific computing environments for many years, including the development of the Zeek (Bro) Network Security Monitor,… Read More »

Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR)

Background The proliferation of Distributed Energy Resources (DER) in electric distribution systems is challenging many existing conventional paradigms of how the grid is planned and operated. This includes strategies to ensure the safety of the electric grid from cyber attacks.  Aggregations of DER constitute a mechanism through which hostile entities can remotely influence multiple systems and states in the grid in such a way that distribution system operators have virtually no warning of an… Read More »

UC-Lab Center for Electricity Distribution Cybersecurity

This project will bring together a multi-disciplinary UC-Lab team of cybersecurity and electricity infrastructure experts to investigate, through both cyber and physical modeling and physics-aware cybersecurity analysis, the impact and significance of cyberattacks on electricity distribution infrastructure.  We will develop new strategies for mitigating vulnerabilities, detecting intrusion, and protecting against detrimental system wide impact. This project will build a new knowledge base to… Read More »

Trusted CI — the National Science Foundation Cybersecurity of Excellence

The mission of Trusted CI — the National Science Foundation Cybersecurity of Excellence — is to improve the cybersecurity of NSF computational science and engineering projects, while allowing those projects to focus on their science endeavors. This project is supported by award # ACI-1547272 the National Science Foundation’s Office of Advanced Cyberinfrastructure. More information on this project is available at the Trusted CI project web site. More information is available on other LBNL… Read More »