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NeuDATool:an Open Source Neutron Data Analysis Tools,Supporting GPU Hardware Acceleration,and across-Computer Cluster Nodes Parallel 被引量:1
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作者 Chang-li Ma He Cheng +3 位作者 Tai-sen Zuo Gui-sheng Jiao ze-hua han Hong Qin 《Chinese Journal of Chemical Physics》 SCIE CAS CSCD 2020年第6期727-732,I0003,共7页
Empirical potential structure refinement is a neutron scattering data analysis algorithm and a software package.It was developed by the disordered materials group in the British spallation neutron source(ISIS)in 1980s... Empirical potential structure refinement is a neutron scattering data analysis algorithm and a software package.It was developed by the disordered materials group in the British spallation neutron source(ISIS)in 1980s,and aims to construct the most-probable atomic structures of disordered materials in the field of chemical physics.It has been extensively used during the past decades,and has generated reliable results.However,it implements a shared-memory architecture with open multi-processing(OpenMP).With the extensive construction of supercomputer clusters and the widespread use of graphics processing unit(GPU)acceleration technology,it is now possible to rebuild the EPSR with these techniques in the effort to improve its calculation speed.In this study,an open source framework NeuDATool is proposed.It is programmed in the object-oriented language C++,can be paralleled across nodes within a computer cluster,and supports GPU acceleration.The performance of NeuDATool has been tested with water and amorphous silica neutron scattering data.The test shows that the software can reconstruct the correct microstructure of the samples,and the calculation speed with GPU acceleration can increase by more than 400 times,compared with CPU serial algorithm at a simulation box that has about 100 thousand atoms.NeuDATool provides another choice to implement simulation in the(neutron)diffraction community,especially for experts who are familiar with C++programming and want to define specific algorithms for their analysis. 展开更多
关键词 Neutron diffraction Neutron scattering Empirical potential structure refinement Graphics processing unit C++
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小角中子散射技术及其在大分子结构表征中的应用 被引量:6
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作者 左太森 马长利 +3 位作者 韩泽华 李雨晴 李明涛 程贺 《高分子学报》 SCIE CAS CSCD 北大核心 2021年第9期1192-1205,共14页
小角中子散射(SANS)是一种表征从纳米到微米尺寸物质特征结构的有力工具,配合中子的强穿透性和同位素辨识等特性,在软物质大分子结构表征方面发挥着独特的作用.随着中国散裂中子源(CSNS)在2018年正式对外接受机时申请,国内SANS用户群逐... 小角中子散射(SANS)是一种表征从纳米到微米尺寸物质特征结构的有力工具,配合中子的强穿透性和同位素辨识等特性,在软物质大分子结构表征方面发挥着独特的作用.随着中国散裂中子源(CSNS)在2018年正式对外接受机时申请,国内SANS用户群逐年扩大.本文首先简要介绍小角中子散射技术的基本原理、谱仪结构和实验技巧,然后紧扣小角谱仪的特点和方法学方面的最新进展,介绍小角中子散射在高分子溶液、高分子共混物和复合材料、高分子结晶、凝胶、多孔材料、生物大分子等研究领域的结构表征方面的典型应用.小角中子散射和其他表征手段,如小角X射线散射(SAXS)相互紧密配合和补充,成为连接大分子内部多相多尺度的微观结构和宏观性的桥梁. 展开更多
关键词 小角中子散射 大分子 多相多尺度 结构表征 中国散裂中子源
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