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Institute for the Design of Advanced Energy Systems

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The Institute for the Design of Advanced Energy Systems (IDAES) was formed in 2016 to develop new advanced Process Systems Engineering (PSE) capabilities to improve the efficiency and reliability of the existing fleet of coal-fired power plants while accelerating the development of a broad range of advanced fossil energy systems. Website: idaes.org

Ensuring the Integrity of Exascale Scientific Data

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This project, "Toward a Hardware/Software Co-Design Framework for Ensuring the Integrity of Exascale Scientific Data", takes a broad look at several aspects of security and scientific integrity issues in HPC systems. This project is supported by the US Department of Energy’s Office of Science’s Advanced Scientific Computing Research (ASCR) program.

AmeriFlux

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AmeriFlux is a network of PI-managed sites measuring ecosystem CO2, water, and energy fluxes in North, Central and South America. AmeriFlux observations have been instrumental in defining the relationships between environmental drivers and responses of whole ecosystems, which can be spatialized using machine learning methods like neural networks or genetic algorithms informed by remote sensing products.

Collaboration Shines in Materials Project Success

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The Materials Project aims to take the guesswork out of finding the best material for a job—be it a new battery electrode or a lightweight spacecraft body—by making the characteristics of every inorganic compound available to any interested scientist. IDF contributes to the design and deployment of the Materials Project infrastructure. » Read More

The Integrated Data Frameworks (IDF) group works in a wide variety of scientific domains, building tools and models to allow scientists to move from the “raw” data generated by simulations, experiments, and observations, to a combined quality-controlled view of the data that they can easily manipulate to gain scientific insight. Often this process will involve extensive work on “cleaning” and transforming data in custom data pipelines, and often there will also be a strong user interface component to either the pipelines or the final data products.

Overall, our approach is distinguished by a strong focus on usability and user research, early and often in the software design process. We have learned that designing the best systems can only occur when we have the best understanding of the constraints, needs, and culture of the scientists who will use it. The IDF group works closely with the Usable Software Systems group on research and development of user-centered solutions.

Research Projects

Inferring Computing Activity Using Physical Sensors

This project involves using power data for monitoring use of computing systems, including supercomputers and large computing centers. By using power data, as opposed to data provided by the computing environment itself, the technology collects the…

AmeriFlux

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…

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…

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…

Integrated Multi Scale Machine Learning for the Power Grid

The goal of this project is to create advanced, distributed data analytics capability to provide visibility and controllability to distribution grid operators. This project is supported by the U.S. Department of Energy’s Grid Modernization…

NetSage - an open privacy-aware network measurement, analysis, and visualization service

NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to address the needs of today’s international networks. Modern science is increasingly data-driven and collaborative in nature, producing petabytes…

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…

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…

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…

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…

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…

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,…

Application of Cyber Security Techniques in the Protection of Efficient Cyber-Physical Energy Generation Systems

 This project is called, "Application of Cyber Security Techniques in the Protection of Efficient Cyber-Physical Energy Generation Systems." In this project, we designed and developed a security monitoring and analysis framework for control systems…

An Automated, Disruption Tolerant Key Management System for the Power Grid

Current key management architectures are not designed for machine-to-machine communication, are designed around an "always online" mentality, and are often burdensome to manage (key distribution, revocation lists, governance, etc.). This project is…

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…

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.

Detecting Distributed Denial of Service Attacks on Wide-Area Networks

The focus of this project is the accurate detection of DDoS attacks on high-throughput, scientific research networks. This project is supported by the US Department of Energy's  iJC3 Cyber R&D program More information on this project is…

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…

DAHLIS

The DALHIS associate team is a collaboration between the Myriads Inria project-team (Rennes, France), Avalon Inria project-team (Lyon, France) and the LBNL Data Science and Technology (DST) department (Berkeley, USA). Data produced by scientific…

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. …

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