CHINESE JOURNAL OF COMPUTATIONAL PHYSICS ›› 2017, Vol. 34 ›› Issue (6): 697-704.

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An Integrated High-throughput Computational Material Platform

YANG Xiaoyu1,2, WANG Juan1,2, REN Jie1,2, SONG Jianlong1, WANG Zongguo1, ZENG Zhi3, ZHANG Xiaoli3, HUANG Sunchao3, ZHANG Ping4, LIN Haiqing5   

  1. 1. Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Institute of Solid State Physics, Chinese Academy of Sciences, Hefei 230031, China;
    4. Institute of Applied Physics and Computational Mathematics, Beijing 100088, China;
    5. Beijing Computational Science Research Center, Beijing 100193, China
  • Received:2016-08-10 Revised:2017-01-23 Online:2017-11-25 Published:2017-11-25

Abstract: The core philosophy of Material Genome Initiative is transition of way of new material design from traditional "try-and-error" approach to in-silico material design approach where intensive computing and material informatics are employed. It aims to effectively speed up discovery, development, production and deployment of new material two times faster as it is now. It means a culture shift of new material discovery:simulation and prediction first, followed by experiment. An integrated computational material platform that can facilitate high-throughput quantum mechanical simulations and manage simulation lifecycle data is therefore vital. This paper depicts a high throughput computational material platform and software framework, namely, MatCloud, which effectively integrates individual quantum mechanical simulation tasks, data extraction and data storage into an automatic flow in an end-to-end manner without direct human control. Especially, core data curation activities are also integrated into this flow rather than happening at post-simulation stage separately. MatCloud is demonstrated in an example of disorder binary alloy design to be valid and effective.

Key words: Material Genome Initiative, material informatics, high-throughput simulation, in-Silico material design, MatCloud

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