期刊文献+

MatCloud+材料云:高通量多尺度全流程的国产材料集成设计工业软件

MatCloud+:A High-throughput,Multi-scale and Full-Process Domestic Integrated Materials Design Industrial Software
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摘要 人们对工业软件的理解大多为基于宏观有限元的模拟仿真,然而计算模拟很多时候还需深入到电子、原子和分子层次。为此,研发了微观多尺度材料集成设计工业软件MatCloud+材料云,不仅将建模、计算流、材料数据库、计算集群以及AI算法等一体化置于云端,而且研发了自主可控的第一原理计算和分子动力学程序包,积累材料数据近千万。高校和科研院所用户无需下载安装,通过浏览器即能开展高通量多尺度模拟。企业用户可部署私有云,通过“软件定义”方式,快速将碎片化的实验数据结构化,并与高通量计算数据融合开展材料智能设计。MatCloud+材料云的开发,打破了微观多尺度材料集成设计工业软件被国外垄断的局面。 Industrial software are mostlybased on macroscopic finite elements-based simulations. However,in many cases,we need simulations at the electron,atomic,and molecular level. In order to address this need,is developed the microscopic multi-scale integrated materials design industrial software is developed,namely,MatCloud+. MatCloud+ not only integrates materials modelling,simulation workflow,material database,high performance computing cluster,and AI algorithm into the Cloud,but also develops an autonomous & controllable first-principles simulation software package and molecular dynamics software package,accumulating nearly 10 million material data. Academic users can run high-throughput multi-scale materials simulation only through Web browsers without downloading and installing any software. Enterprise users can deploy MatCloud+ as a private Cloud to quickly transform the fragmented materials experimental data into database and integrate with high-throughput simulation data to carry out intelligent material design. The development of MatCloud+ has broken down the monopoly of microscopic multi-scale integrated materials design industrial software dominated by foreign countries.
作者 杨小渝 马新杰 许立芳 郝德博 孛志尧 昌志成 YANG Xiao-yu;MA Xin-jie;XU Li-fang;HAO De-bo;BO Zhi-yao;CHANG Zhi-cheng(Computer Network Information Centre,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China;Beijing Maigao MatCloud Co.,Ltd.,Beijing 100190,China)
出处 《软件导刊》 2022年第10期36-47,共12页 Software Guide
基金 国家自然科学基金项目(52142306,61472394) 科技部“十三五”国家重点研发计划项目(2016YFB0700501) 国家发改委创新专项(科发技函字[2013]8号) 信息功能材料国家重点实验室项目(SKL2021) 云南稀贵金属材料基因工程专项(2019CLJY06/202002AB080001-6)。
关键词 材料研发工业软件 微观多尺度材料集成设计 高通量材料计算 材料基因编码 MatCloud+ materials design industrial software microscopic multi-scale integrated materials design industrial software high-throughput materials simulation material gene coding MatCloud+
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二级参考文献9

  • 1张学习,郑忠,高莹,耿林.金属基复合材料高通量制备及表征技术研究进展[J].金属学报,2019,55(1):109-125. 被引量:15
  • 2汪洪,项晓东,张澜庭.数据+人工智能是材料基因工程的核心[J].科技导报,2018,36(14):15-21. 被引量:25
  • 3Jianfeng Wang,Hongbo Zhou,Liguo Wang,Shijie Zhu,Shaokang Guan.Microstructure, mechanical properties and deformation mechanisms of an as-cast Mg–Zn–Y–Nd–Zr alloy for stent applications[J].Journal of Materials Science & Technology,2019,35(7):1211-1217. 被引量:9
  • 4Li Jiang,Xiang-Xi Ye,De-Jun Wang,Zhi-Jun Li.Synchrotron radiation-based materials characterization techniques shed light on molten salt reactor alloys[J].Nuclear Science and Techniques,2020,31(1):57-71. 被引量:9
  • 5Zhendong Wang,Magdalena OCichocka,Yi Luo,Bin Zhang,Hongmin Sun,Yi Tang,Weimin Yang.Controllable direct-syntheses of delaminated MWW-type zeolites[J].Chinese Journal of Catalysis,2020,41(7):1062-1066. 被引量:10
  • 6M.Ablikim,M.N.Achasov,P.Adlarson,S.Ahmed,M.Albrecht,M.Alekseev,A.Amoroso,F.F.An,Q.An,Y.Bai,O.Bakina,R.Baldini Ferroli,Y.Ban,K.Begzsuren,J.V.Bennett,N.Berger,M.Bertani,D.Bettoni,F.Bianchi,J Biernat,J.Bloms,I.Boyko,R.A.Briere,L.Calibbi,H.Cai,X.Cai,A.Calcaterra,G.F.Cao,N.Cao,S.A.Cetin,J.Chai,J.F.Chang,W.L.Chang,J.Charles,G.Chelkov,Chen,G.Chen,H.S.Chen,J.C.Chen,M.L.Chen,S.J.Chen,Y.B.Chen,H.Y.Cheng,W.Cheng,G.Cibinetto,F.Cossio,X.F.Cui,H.L.Dai,J.P.Dai,X.C.Dai,A.Dbeyssi,D.Dedovich,Z.Y.Deng,A.Denig,Denysenko,M.Destefanis,S.Descotes-Genon,F.De Mori,Y.Ding,C.Dong,J.Dong,L.Y.Dong,M.Y.Dong,Z.L.Dou,S.X.Du,S.I.Eidelman,J.Z.Fan,J.Fang,S.S.Fang,Y.Fang,R.Farinelli,L.Fava,F.Feldbauer,G.Felici,C.Q.Feng,M.Fritsch,C.D.Fu,Y.Fu,Q.Gao,X.L.Gao,Y.Gao,Y.Gao,Y.G.Gao,Z.Gao,B.Garillon,I.Garzia,E.M.Gersabeck,A.Gilman,K.Goetzen,L.Gong,W.X.Gong,W.Gradl,M.Greco,L.M.Gu,M.H.Gu,Y.T.Gu,A.Q.Guo,F.K.Guo,L.B.Guo,R.P.Guo,Y.P.Guo,A.Guskov,S.Han,X.Q.Hao,F.A.Harris,K.L.He,F.H.Heinsius,T.Held,Y.K.Heng,Y.R.Hou,Z.L.Hou,H.M.Hu,J.F.Hu,T.Hu,Y.Hu,G.S.Huang,J.S.Huang,X.T.Huang,X.Z.Huang,Z.L.Huang,N.Huesken,T.Hussain,W.Ikegami Andersson,W.Imoehl,M.Irshad,Q.Ji,Q.P.Ji,X.B.Ji,X.L.Ji,H.L.Jiang,X.S.Jiang,X.Y.Jiang,J.B.Jiao,Z.Jiao,D.P.Jin,S.Jin,Y.Jin,T.Johansson,N.Kalantar-Nayestanaki,X.S.Kang,R.Kappert,M.Kavatsyuk,B.C.Ke,I.K.Keshk,T.Khan,A.Khoukaz,P.Kiese,R.Kiuchi,R.Kliemt,L.Koch,O.B.Kolcu,B.Kopf,M.Kuemmel,M.Kuessner,A.Kupsc,M.Kurth,M.G.Kurth,W.Kuhn,J.S.Lange,P.Larin,L.Lavezzi,H.Leithoff,T.Lenz,C.Li,Cheng Li,D.M.Li,F.Li,F.Y.Li,G.Li,H.B.Li,H.J.Li,J.C.Li,J.W.Li,Ke Li,L.K.Li,Lei Li,P.L.Li,P.R.Li,Q.Y.Li,W.D.Li,W.G.Li,X.H.Li,X.L.Li,X.N.Li,X.Q.Li,Z.B.Li,H.Liang,H.Liang,Y.F.Liang,Y.T.Liang,G.R.Liao,L.Z.Liao,J.Libby,C.X.Lin,D.X.Lin,Y.J.Lin,B.Liu,B.J.Liu,C.X.Liu,D.Liu,D.Y.Liu,F.H.Liu,Fang Liu,Feng Liu,H.B.Liu,H.M.Liu,Huanhuan Liu,Huihui Liu,J.B.Liu,J.Y.Liu,K.Y.Liu,Ke Liu,Q.Liu,S.B.Liu,T.Liu,X.Liu,X.Y.Liu,Y.B.Liu,Z.A.Liu,Zhiqing Liu,Y.F.Long,X.C.Lou,H.J.Lu,J.D.Lu,J.G.Lu,Y.Lu,Y.P.Lu,C.L.Luo,M.X.Luo,P.W.Luo,T.Luo,X.L.Luo,S.Lusso,X.R.Lyu,F.C.Ma,H.L.Ma,L.L.Ma,M.M.Ma,Q.M.Ma,X.N.Ma,X.X.Ma,X.Y.Ma,Y.M.Ma,F.E.Maas,M.Maggiora,S.Maldaner,S.Malde,Q.A.Malik,A.Mangoni,Y.J.Mao,Z.P.Mao,S.Marcello,Z.X.Meng,J.G.Messchendorp,G.Mezzadri,J.Min,T.J.Min,R.E.Mitchell,X.H.Mo,Y.J.Mo,C.Morales Morales,N.Yu.Muchnoi,H.Muramatsu,A.Mustafa,S.Nakhoul,Y.Nefedov,F.Nerling,I.B.Nikolaev,Z.Ning,S.Nisar,S.L.Niu,S.L.Olsen,Q.Ouyang,S.Pacetti,Y.Pan,M.Papenbrock,P.Patteri,M.Pelizaeus,H.P.Peng,K.Peters,A.A.Petrov,J.Pettersson,J.L.Ping,R.G.Ping,A.Pitka,R.Poling,V.Prasad,M.Qi,T.Y.Qi,S.Qian,C.F.Qiao,N.Qin,X.P.Qin,X.S.Qin,Z.H.Qin,J.F.Qiu,S.Q.Qu,K.H.Rashid,C.F.Redmer,M.Richter,M.Ripka,A.Rivetti,V.Rodin,M.Rolo,G.Rong,J.L.Rosner,Ch.Rosner,M.Rump,A.Sarantsev,M.Savrie,K.Schoenning,W.Shan,X.Y.Shan,M.Shao,C.P.Shen,P.X.Shen,X.Y.Shen,H.Y.Sheng,X.Shi,X.D Shi,J.J.Song,Q.Q.Song,X.Y.Song,S.Sosio,C.Sowa,S.Spataro,F.F.Sui,G.X.Sun,J.F.Sun,L.Sun,S.S.Sun,X.H.Sun,Y.J.Sun,Y.K Sun,Y.Z.Sun,Z.J.Sun,Z.T.Sun,Y.T Tan,C.J.Tang,G.Y.Tang,X.Tang,V.Thoren,B.Tsednee,I.Uman,B.Wang,B.L.Wang,C.W.Wang,D.Y.Wang,H.H.Wang,K.Wang,L.L.Wang,L.S.Wang,M.Wang,M.Z.Wang,Wang Meng,P.L.Wang,R.M.Wang,W.P.Wang,X.Wang,X.F.Wang,X.L.Wang,Y.Wang,Y.F.Wang,Z.Wang,Z.G.Wang,Z.Y.Wang,Zongyuan Wang,T.Weber,D.H.Wei,P.Weidenkaff,H.W.Wen,S.P.Wen,U.Wiedner,G.Wilkinson,M.Wolke,L.H.Wu,L.J.Wu,Z.Wu,L.Xia,Y.Xia,S.Y.Xiao,Y.J.Xiao,Z.J.Xiao,Y.G.Xie,Y.H.Xie,T.Y.Xing,X.A.Xiong,Q.L.Xiu,G.F.Xu,L.Xu,Q.J.Xu,W.Xu,X.P.Xu,F.Yan,L.Yan,W.B.Yan,W.C.Yan,Y.H.Yan,H.J.Yang,H.X.Yang,L.Yang,R.X.Yang,S.L.Yang,Y.H.Yang,Y.X.Yang,Yifan Yang,Z.Q.Yang,M.Ye,M.H.Ye,J.H.Yin,Z.Y.You,B.X.Yu,C.X.Yu,J.S.Yu,C.Z.Yuan,X.Q.Yuan,Y.Yuan,A.Yuncu,A.A.Zafar,Y.Zeng,B.X.Zhang,B.Y.Zhang,C.C.Zhang,D.H.Zhang,H.H.Zhang,H.Y.Zhang,J.Zhang,J.L.Zhang,J.Q.Zhang,J.W.Zhang,J.Y.Zhang,J.Z.Zhang,K.Zhang,L.Zhang,S.F.Zhang,T.J.Zhang,X.Y.Zhang,Y.Zhang,Y.H.Zhang,Y.T.Zhang,Yang Zhang,Yao Zhang,Yi Zhang,Yu Zhang,Z.H.Zhang,Z.P.Zhang,Z.Q.Zhang,Z.Y.Zhang,G.Zhao,J.W.Zhao,J.Y.Zhao,J.Z.Zhao,Lei Zhao,Ling Zhao,M.G.Zhao,Q.Zhao,S.J.Zhao,T.C.Zhao,Y.B.Zhao,Z.G.Zhao,A.Zhemchugov,B.Zheng,J.P.Zheng,Y.Zheng,Y.H.Zheng,B.Zhong,L.Zhou,L.P.Zhou,Q.Zhou,X.Zhou,X.K.Zhou,Xingyu Zhou,Xiaoyu Zhou,Xu Zhou,A.N.Zhu,J.Zhu,J.Zhu,K.Zhu,K.J.Zhu,S.H.Zhu,W.J.Zhu,X.L.Zhu,Y.C.Zhu,Y.S.Zhu,Z.A.Zhu,J.Zhuang,B.S.Zou,J.H.Zou,无.Future Physics Programme of BESⅢ[J].Chinese Physics C,2020,44(4). 被引量:540
  • 7Pei Liu,Haiyou Huang,Stoichko Antonov,Cheng Wen,Dezhen Xue,Houwen Chen,Longfei Li,Qiang Feng,Toshihiro Omori,Yanjing Su.Machine learning assisted design of γ′-strengthened Co-base superalloys with multi-performance optimization[J].npj Computational Materials,2020(1):1138-1146. 被引量:12
  • 8Changsheng Wang,Huadong Fu,Lei Jiang,Dezhen Xue,Jianxin Xie.A property-oriented design strategy for high performance copper alloys via machine learning[J].npj Computational Materials,2019(1):363-370. 被引量:30
  • 9Kaicheng Yang,Jiang Wang,Qingrong Yao,Zhao Lu,Maohua Rong,Huaiying Zhou,Guanghui Rao.Phase diagrams of permanent magnet alloys: Binary rare earth alloy systems[J].Journal of Rare Earths,2019,37(10):1040-1046. 被引量:3

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