dc.citation.conferencePlace |
US |
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dc.citation.conferencePlace |
Caesars Forum Las Vegas |
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dc.citation.title |
APS March Meeting 2023 |
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dc.contributor.author |
Yong, Daeseong |
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dc.contributor.author |
Kang, Wonjun |
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dc.contributor.author |
Kim, Jaeup U. |
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dc.date.accessioned |
2024-01-02T14:05:11Z |
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dc.date.available |
2024-01-02T14:05:11Z |
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dc.date.created |
2023-12-30 |
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dc.date.issued |
2023-03-09 |
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dc.description.abstract |
We provide an open-source Langevin field-theoretic simulation (L-FTS) for the block copolymer (BCP) field-based simulations. L-FTS is one of the partial saddle point approximation methods that can account for the compositional fluctuation effect, which is neglected in the self-consistent field theory (SCFT). By parallelizing the computations using the GPU, we achieved a 20x speedup in typical BCP systems compared to the CPU implementation. Our open-source code is provided as a library for Python programming language, so that one can implement SCFT calculation and L-FTS by writing a Python script. This allows L-FTS to be integrated with numerous useful Python libraries. We implemented deep learning boost of the L-FTS on top of this library and is also publicly available, which provides additional 6x speedup without compromising accuracy. *This research was supported by the NRF grants (NRF-2021R1A2C1011072, and NRF-2022R1C1C2010613) funded by the Ministry of Science and ICT (MSIT), Korea. This research used high-performance computing resources of the UNIST Supercomputing Center. |
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dc.identifier.bibliographicCitation |
APS March Meeting 2023 |
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dc.identifier.uri |
https://scholarworks.unist.ac.kr/handle/201301/67485 |
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dc.language |
영어 |
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dc.publisher |
American Physical Society |
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dc.title |
Open-source Code for Langevin Field-Theoretic Simulation |
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dc.type |
Conference Paper |
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dc.date.conferenceDate |
2023-03-05 |
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