Accelerating discoveries at DIII-D with the Integrated Research Infrastructure
DIII-D research is being accelerated by leveraging high performance computing (HPC) and data resources available through the National Energy Research Scientific Computing Center (NERSC) Superfacility initiative. As part of this initiative, a high-resolution, fully automated, whole discharge kinetic...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Physics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2024.1524041/full |
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| author | T. Bechtel Amara S. P. Smith Z. A. Xing S. S. Denk A. Deshpande A. O. Nelson C. Simpson E. W. DeShazer T. F. Neiser O. Antepara C. M. Clark J. Lestz J. Colmenares N. Tyler P. Ding M. Kostuk E. D. Dart R. Nazikian T. Osborne S. Williams T. Uram D. Schissel |
| author_facet | T. Bechtel Amara S. P. Smith Z. A. Xing S. S. Denk A. Deshpande A. O. Nelson C. Simpson E. W. DeShazer T. F. Neiser O. Antepara C. M. Clark J. Lestz J. Colmenares N. Tyler P. Ding M. Kostuk E. D. Dart R. Nazikian T. Osborne S. Williams T. Uram D. Schissel |
| author_sort | T. Bechtel Amara |
| collection | DOAJ |
| description | DIII-D research is being accelerated by leveraging high performance computing (HPC) and data resources available through the National Energy Research Scientific Computing Center (NERSC) Superfacility initiative. As part of this initiative, a high-resolution, fully automated, whole discharge kinetic equilibrium reconstruction workflow was developed that runs at the NERSC for most DIII-D shots in under 20 min. This has eliminated a long-standing research barrier and opened the door to more sophisticated analyses, including plasma transport and stability. These capabilities would benefit from being automated and executed within the larger Department of Energy Advanced Scientific Computing Research program’s Integrated Research Infrastructure (IRI) framework. The goal of IRI is to empower researchers to meld DOE’s world-class research tools, infrastructure, and user facilities seamlessly and securely in novel ways to radically accelerate discovery and innovation. For transport, we are looking at producing flux matched profiles and also using particle tracing to predict fast ion heat deposition from neutral beam injection before a shot takes place. Our starting point for evaluating plasma stability focuses on the pedestal limits that must be navigated to achieve better confinement. This information is meant to help operators run more effective experiments, so it needs to be available rapidly inside the DIII-D control room. So far this has been achieved by ensuring the data is available with existing tools, but as more novel results are produced new visualization tools must be developed. In addition, all of the high-quality data we have generated has been collected into databases that can unlock even deeper insights. This has already been leveraged for model and code validation studies as well as for developing AI/ML surrogates. The workflows developed for this project are intended to serve as prototypes that can be replicated on other experiments and can be run to provide timely and essential information for ITER, as well as next stage fusion power plants. |
| format | Article |
| id | doaj-art-1c0311c5860c4069871dcb4977137233 |
| institution | Kabale University |
| issn | 2296-424X |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physics |
| spelling | doaj-art-1c0311c5860c4069871dcb49771372332025-01-17T05:10:40ZengFrontiers Media S.A.Frontiers in Physics2296-424X2025-01-011210.3389/fphy.2024.15240411524041Accelerating discoveries at DIII-D with the Integrated Research InfrastructureT. Bechtel Amara0S. P. Smith1Z. A. Xing2S. S. Denk3A. Deshpande4A. O. Nelson5C. Simpson6E. W. DeShazer7T. F. Neiser8O. Antepara9C. M. Clark10J. Lestz11J. Colmenares12N. Tyler13P. Ding14M. Kostuk15E. D. Dart16R. Nazikian17T. Osborne18S. Williams19T. Uram20D. Schissel21General Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesApplied Physics and Applied Mathematics, Columbia University, New York, NY, United StatesArgonne Leadership Computing Facility, Argonne National Laboratory, Lemont, IL, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesApplied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesNational Energy Resource Scientific Computing Facility, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesNational Energy Resource Scientific Computing Facility, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesGeneral Atomics, San Diego, CA, United StatesEnergy Sciences Network, Berkeley, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesGeneral Atomics, San Diego, CA, United StatesGeneral Atomics, San Diego, CA, United StatesApplied Mathematics and Computational Research Division, Lawrence Berkeley National Laboratory, Berkeley, CA, United StatesArgonne Leadership Computing Facility, Argonne National Laboratory, Lemont, IL, United StatesGeneral Atomics, San Diego, CA, United StatesDIII-D research is being accelerated by leveraging high performance computing (HPC) and data resources available through the National Energy Research Scientific Computing Center (NERSC) Superfacility initiative. As part of this initiative, a high-resolution, fully automated, whole discharge kinetic equilibrium reconstruction workflow was developed that runs at the NERSC for most DIII-D shots in under 20 min. This has eliminated a long-standing research barrier and opened the door to more sophisticated analyses, including plasma transport and stability. These capabilities would benefit from being automated and executed within the larger Department of Energy Advanced Scientific Computing Research program’s Integrated Research Infrastructure (IRI) framework. The goal of IRI is to empower researchers to meld DOE’s world-class research tools, infrastructure, and user facilities seamlessly and securely in novel ways to radically accelerate discovery and innovation. For transport, we are looking at producing flux matched profiles and also using particle tracing to predict fast ion heat deposition from neutral beam injection before a shot takes place. Our starting point for evaluating plasma stability focuses on the pedestal limits that must be navigated to achieve better confinement. This information is meant to help operators run more effective experiments, so it needs to be available rapidly inside the DIII-D control room. So far this has been achieved by ensuring the data is available with existing tools, but as more novel results are produced new visualization tools must be developed. In addition, all of the high-quality data we have generated has been collected into databases that can unlock even deeper insights. This has already been leveraged for model and code validation studies as well as for developing AI/ML surrogates. The workflows developed for this project are intended to serve as prototypes that can be replicated on other experiments and can be run to provide timely and essential information for ITER, as well as next stage fusion power plants.https://www.frontiersin.org/articles/10.3389/fphy.2024.1524041/fullplasmatokamakHPCDIII-DsuperfacilityIRI |
| spellingShingle | T. Bechtel Amara S. P. Smith Z. A. Xing S. S. Denk A. Deshpande A. O. Nelson C. Simpson E. W. DeShazer T. F. Neiser O. Antepara C. M. Clark J. Lestz J. Colmenares N. Tyler P. Ding M. Kostuk E. D. Dart R. Nazikian T. Osborne S. Williams T. Uram D. Schissel Accelerating discoveries at DIII-D with the Integrated Research Infrastructure Frontiers in Physics plasma tokamak HPC DIII-D superfacility IRI |
| title | Accelerating discoveries at DIII-D with the Integrated Research Infrastructure |
| title_full | Accelerating discoveries at DIII-D with the Integrated Research Infrastructure |
| title_fullStr | Accelerating discoveries at DIII-D with the Integrated Research Infrastructure |
| title_full_unstemmed | Accelerating discoveries at DIII-D with the Integrated Research Infrastructure |
| title_short | Accelerating discoveries at DIII-D with the Integrated Research Infrastructure |
| title_sort | accelerating discoveries at diii d with the integrated research infrastructure |
| topic | plasma tokamak HPC DIII-D superfacility IRI |
| url | https://www.frontiersin.org/articles/10.3389/fphy.2024.1524041/full |
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