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用于在图形处理单元上进行嵌段聚合物相行为自洽场理论计算的开源代码。

Open-source code for self-consistent field theory calculations of block polymer phase behavior on graphics processing units.

作者信息

Cheong Guo Kang, Chawla Anshul, Morse David C, Dorfman Kevin D

机构信息

Department of Chemical Engineering and Materials Science, University of Minnesota - Twin Cities, 421 Washington Avenue SE, 55455, Minneapolis, MN, USA.

出版信息

Eur Phys J E Soft Matter. 2020 Feb 25;43(2):15. doi: 10.1140/epje/i2020-11938-y.

Abstract

Self-consistent field theory (SCFT) is a powerful approach for computing the phase behavior of block polymers. We describe a fast version of the open-source Polymer Self-Consistent Field (PSCF) code that takes advantage of the massive parallelization provided by a graphical processing unit (GPU). Benchmarking double-precision calculations indicate up to 30× reduction in time to converge SCFT calculations of various diblock copolymer phases when compared to the Fortran CPU version of PSCF using the same algorithms, with the speed-up increasing with increasing unit cell size for the diblock polymer problems examined here. Where double-precision accuracy is not needed, single-precision calculations can provide speed-up of up to 60× in convergence time. These improvements in speed within an open-source format open up new vistas for SCFT-driven block polymer materials discovery by the community at large.

摘要

自洽场理论(SCFT)是计算嵌段聚合物相行为的一种强大方法。我们描述了开源聚合物自洽场(PSCF)代码的一个快速版本,它利用了图形处理单元(GPU)提供的大规模并行化。基准双精度计算表明,与使用相同算法的PSCF Fortran CPU版本相比,在计算各种二嵌段共聚物相的SCFT时,收敛时间最多可减少30倍,对于此处研究的二嵌段聚合物问题,加速比随着晶胞尺寸的增加而增大。在不需要双精度精度的情况下,单精度计算在收敛时间上可提供高达60倍的加速。开源格式下速度的这些提升为广大社区通过SCFT驱动发现嵌段聚合物材料开辟了新的前景。

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