The U.S. Department of Energy has selected a multi-institutional team of data scientists led by General Atomics to develop a Fusion Data Platform for advancing high-priority fusion research. The FDP will provide researchers with access to high-quality fusion data for the creation of reproducible Artificial Intelligence and Machine Learning models. These advanced models will support the design and operation of Fusion Pilot Plants within a decadal timescale.
GA is partnering with the San Diego Supercomputer Center at the University of California, San Diego, Hewlett Packard Enterprise, and Sapientai to create the FDP on behalf of the U.S. Department of Energy. Once complete, the tool will be made available to the scientific community to support rapid advancements in FPP designs.
“Creating a robust AI/ML platform with very large, curated datasets and efficient processing tools will be transformational for fusion energy,” said Brian Sammuli, Deputy Director of the Advanced Computing Center of Excellence at General Atomics and Principal Investigator. “By advancing AI/ML research in fusion, we will be able to rapidly address some key remaining challenges in fusion science and reactor development. We look forward to leading this team to provide an outstanding platform for the scientific community to advance fusion research and support the deployment of the first generation of fusion energy power plants.”
Also Read : U.S. Army Selects BackBox to Automate Multi-Vendor Network Environment
“A key mission of the FDP is to accelerate AI/ML research by expanding access to high-quality fusion data and the tools needed to process the data at scale,” said Dr. Raffi Nazikian, Senior Director and leader of the ITER Research Hub at General Atomics. “The FDP will include experimental and simulated data in an integrated platform. We are talking many petabytes of data that will be easily accessible on the platform. The success of the FDP will be measured by how well we serve the needs of the fusion and broader data science community, including students and researchers from universities, national laboratories, and industry.”
“The FDP is an important step towards harnessing the power of fusion data to advance the development of fusion energy. GA and SDSC have a long history going back almost 40 years, and this is the beginning of a new chapter in our cooperation to advance fusion energy science and education,” said Prof. Frank Würthwein, Director of SDSC.
“Among the FDP unique capabilities will be the ability for users to access, understand and leverage prior data and AI pipelines to advance their research and build reproducible, certifiable AI/ML models, said Paolo Faraboschi, HPE Fellow and AI Research Lab Director at Hewlett Packard Labs. “We fully understand the unprecedented societal impact that fusion power can one day provide, and we look forward to working with the scientific community on the FDP to help realize the decadal vision for fusion energy development.”
“We’re very excited to participate in the FDP project,” said Craig Michoski, Founder and CEO of Sapientai. “This is a phenomenal set of collaborative institutions, and we have high aspirations for the success and impact the FDP project will have across the fusion landscape. We think the era of data-driven science and technology advancement is well upon us, and we are extremely excited to see how these tools applied to the treasure trove of DOE’s fusion data can advance the field and accelerate progress towards commercial fusion energy.”
SOURCE : GlobeNewswire