Abstract
One of the main goals of neutron data analysis is to determine the internal structure of materials from their neutron scattering profiles. These structures are defined by a crystallographic class label and a set of real-valued parameters specific to that class. Existing structure analysis approaches use computationally expensive loop refinements methods that routinely take days, and even weeks, to complete. Additionally, the outcomes often rely on the fidelity of physical models that are computed during the refinement process.
| Original language | English |
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| Title of host publication | Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 |
| Editors | Xintao Wu, Chris Jermaine, Li Xiong, Xiaohua Tony Hu, Olivera Kotevska, Siyuan Lu, Weijia Xu, Srinivas Aluru, Chengxiang Zhai, Eyhab Al-Masri, Zhiyuan Chen, Jeff Saltz |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1147-1155 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781728162515 |
| DOIs | |
| State | Published - Dec 10 2020 |
| Externally published | Yes |
| Event | 8th IEEE International Conference on Big Data, Big Data 2020 - Virtual, Online, United States Duration: Dec 10 2020 → Dec 13 2020 |
Publication series
| Name | Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020 |
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Conference
| Conference | 8th IEEE International Conference on Big Data, Big Data 2020 |
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| Country/Territory | United States |
| City | Virtual, Online |
| Period | 12/10/20 → 12/13/20 |
Funding
This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan) A portion of this research used resources at the Spallation Neutron Source, a DOE Office of Science User Facility operated by the Oak Ridge National Laboratory. A portion of this research used resources at the Argonne Leadership Computing Facility, a DOE Office of Science User Facility operated by the Argonne National Laboratory. This research was sponsored by ExaLearn, an Exascale Computing Project, DOE.