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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 sector.  … 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 »

A Mathematical and Data-Driven Approach to Intrusion Detection for High-Performance Computing

In this project, CRD researchers developed mathematical and statistical techniques to analyze the secure access and use of high-performance computer systems.  The project was funded by the U.S. Department of Energy's Applied Mathematics Section.  The overall goals of the project were to develop mathematical and statistical methods to detect intrusions of high-performance computing systems.  Our mathematical analysis is predicated on the fact that large HPC systems represent unique… 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 »

Power Grid Threat Detection and Response with Data Analytics

The goal of this project is to develop technologies and methodologies to protect the nation's power grid from advanced cyber and all-hazard threats. This will be done through the collection of disparate data and the use of advanced analytics to detect threats and response to them. This project is supported by the U.S. Department of Energy's Cybersecurity for Energy Delivery Systems (CEDS) program in support of the Grid Modernization Initiative. Read more at the Power Grid Threat Detection and… 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 »

Supporting Cyber Security of Power Distribution Systems by Detecting Differences Between Real-time Micro-Synchrophasor Measurements and Cyber-Reported SCADA

The power distribution grid, like many cyber physical systems, was developed with careful consideration for safe operation. However, a number of features of the power system make it particularly vulnerable to cyber attacks via IP networks. "IT security" approaches to dealing with malware and other cyber attacks via a network include traditional intrusion detection systems, firewalls, encryption, etc... These techniques can help, but as we've observed in a previous project, traditional IT… 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 »