[{"data":1,"prerenderedAt":238},["ShallowReactive",2],{"navigation":3,"academic":46},[4],{"title":5,"path":6,"stem":7,"children":8,"page":45},"Blog","\u002Fblog","blog",[9,13,17,21,25,29,33,37,41],{"title":10,"path":11,"stem":12},"吉布斯自由能、化学势与扩散势","\u002Fblog\u002Fchemical-potential-and-diffusion-potential","blog\u002Fchemical-potential-and-diffusion-potential",{"title":14,"path":15,"stem":16},"Deploying Nuxt Static Sites with Nginx","\u002Fblog\u002Fdeploying-nuxt-static-site-with-nginx","blog\u002Fdeploying-nuxt-static-site-with-nginx",{"title":18,"path":19,"stem":20},"相变驱动力计算","\u002Fblog\u002Fphase-transformation-driving-force","blog\u002Fphase-transformation-driving-force",{"title":22,"path":23,"stem":24},"Python 环境配置完全指南：Conda 与国内镜像源","\u002Fblog\u002Fpython-environment-setup-guide","blog\u002Fpython-environment-setup-guide",{"title":26,"path":27,"stem":28},"Rust 编译与配置指南","\u002Fblog\u002Frust-compilation-and-configuration","blog\u002Frust-compilation-and-configuration",{"title":30,"path":31,"stem":32},"SSH Key Authentication Setup Guide","\u002Fblog\u002Fssh-key-authentication-setup","blog\u002Fssh-key-authentication-setup",{"title":34,"path":35,"stem":36},"Tauri + Rust 技术栈与编译说明","\u002Fblog\u002Ftauri-rust-tech-stack-and-build","blog\u002Ftauri-rust-tech-stack-and-build",{"title":38,"path":39,"stem":40},"Complete Guide to Utoipa Integration with Axum","\u002Fblog\u002Futoipa-integration-with-axum","blog\u002Futoipa-integration-with-axum",{"title":42,"path":43,"stem":44},"Rust: Code Once, Build Anywhere","\u002Fblog\u002Fwhy-rust-priority","blog\u002Fwhy-rust-priority",false,{"id":47,"title":48,"body":49,"description":50,"events":51,"extension":89,"links":90,"meta":95,"navigation":96,"path":97,"publications":98,"seo":235,"stem":236,"__hash__":237},"academic\u002Facademic.yml","Academic Work",null,"A collection of my academic conference presentations and research publications in materials science and computational metallurgy.",[52,57,61,65,69,73,77,81,85],{"category":53,"title":54,"date":55,"location":56},"Conference","Kinetic Database for Multicomponent Alloys: Development, Maintenance and Applications in Materials Design","2022-07-01","International Conference on Novel Nonferrous Materials, Nanning, Guangxi",{"category":53,"title":58,"date":59,"location":60},"HitDIC Software and Its Applications in Automated Development of Diffusion Database for Alloys","2021-12-01","National Powder Metallurgy Conference, Changsha, Hunan",{"category":53,"title":62,"date":63,"location":64},"High-throughput Determination and Uncertainty Quantification of Diffusion Database for Multicomponent Alloys","2019-11-01","2019 National Conference of Phase Diagram, Guilin, Guangxi",{"category":53,"title":66,"date":67,"location":68},"HIDIC: A software for high-throughput determination of interdiffusion coefficients in alloys","2018-07-01","2018 International Conference on Multiscale Modeling & Simulation of Materials, Xi'an, Shanxi",{"category":53,"title":70,"date":71,"location":72},"A free accessible code for high-throughput determination of the interdiffusion coefficients in single solution phase","2018-05-01","CALPHAD XLVII Conference, Queretaro, Mexico",{"category":53,"title":74,"date":75,"location":76},"A high-throughput approach to establish the atomic mobility database in multicomponent alloys","2017-05-01","10th International Conference on Diffusion in Materials, Haifa, Israel",{"category":53,"title":78,"date":79,"location":80},"HITDIC, a free accessible code for high-throughput determination of the interdiffusion coefficients and its application in RE-additional Mg alloys","2017-12-01","6th China & Norway International Seminar on Light Alloys and New Energy Materials, Shanghai",{"category":53,"title":82,"date":83,"location":84},"A high-throughput approach to establish the atomic mobility in multicomponent alloys","2016-10-01","17th IUMRS International Conference in Asia, Qingdao, Shandong",{"category":53,"title":86,"date":87,"location":88},"Efficient coupling interface between CALPHAD database and phase-field modeling with finite interface dissipation","2015-11-01","17th National Conference of Phase Diagram and Materials Design, Guilin, Guangxi","yml",[91],{"label":92,"to":93,"size":94},"Contact me","mailto:zhongjingjogy@gmail.com","md",{},true,"\u002Facademic",[99,107,112,118,125,131,137,143,150,156,162,166,172,178,185,191,194,199,204,209,215,221,228],{"title":100,"authors":101,"journal":102,"citation":103,"year":104,"type":105,"url":106},"HitDIC software with graphical user interface for automatic development of diffusion databases in multicomponent alloys","Zhong, Jing; Ling, Haoyue; Chen, Shiyao; Yang, Jing; Zhang, Lijun","Calphad","88, 102794",2025,"journal","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0364591624001366",{"title":108,"authors":109,"journal":102,"citation":110,"year":104,"type":105,"url":111},"An efficient microstructure simulation framework by integrating phase-field model, general coupling schema and parallelism: Demo in Ni-based superalloys","Wu, Xiaoke; Cheng, Ting; Zhong, Jing; Yang, Shenglan; Ma, Sa; Ta, Na; Zhang, Lijun","88, 102798","https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS036459162500001X",{"title":113,"authors":114,"journal":115,"citation":116,"year":104,"type":105,"url":117},"Thermodynamic, diffusion and precipitation behaviors in Cu–Ni–Si–Co alloys: Modeling and experimental validation","Ling, Haoyue; Tang, Ying; Zhong, Jing; Meng, Xiangpeng; Zhang, Min; Zhang, Lijun","Journal of Materials Research and Technology","35, 3257–3269","https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS223878542500242X",{"title":119,"authors":120,"journal":121,"citation":122,"year":123,"type":105,"url":124},"Toward additive manufactured crack-free NiTiCu shape memory alloys with low-hysteresis and tailorable phase transition behavior supported by theoretical design","Li, Zhicheng; Zhong, Jing; Zhang, Jinliang; Song, Bo; Liu, Bing; Shi, Yusheng; Zhang, Lijun","Additive Manufacturing","92, 104386",2024,"https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS2214860424004329",{"title":126,"authors":127,"journal":128,"citation":129,"year":123,"type":105,"url":130},"Accelerating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods","Li, Zhicheng; Zhong, Jing; Jiang, Xingsong; Wang, Zhangxi; Zhang, Lijun","Virtual and Physical Prototyping","19(1), e2364221","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Ffull\u002F10.1080\u002F17452759.2024.2364221",{"title":132,"authors":133,"journal":134,"citation":135,"year":123,"type":105,"url":136},"High-throughput determination of accurate interdiffusivity matrices and atomic mobilities in fcc Co-Mn-X (X = Fe, Ni) alloys","Li, Qin; Zhong, Jing; Wu, Xiaoke; Fu, Hang; Deng, Chunming; Zhang, Lijun","Journal of Alloys and Compounds","980, 173540","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0925838824001269",{"title":138,"authors":139,"journal":140,"citation":141,"year":123,"type":105,"url":142},"Breaking hardness and electrical conductivity trade-off in Cu-Ti alloys through machine learning and Pareto front","Fu, Hang; Gao, Tianchuang; Gao, Jianbao; Li, Qin; Meng, Xiangpeng; Zhang, Min; Ling, Haoyue; Zhong, Jing; Zhang, Lijun","Materials Research Letters","12(8), 580–589","https:\u002F\u002Fdoi.org\u002F10.1080\u002F21663831.2024.2358964",{"title":144,"authors":145,"journal":146,"citation":147,"year":148,"type":105,"url":149},"Computer Alloy Design of Ti Modified Al-Si-Mg-Sr Casting Alloys for Achieving Simultaneous Enhancement in Strength and Ductility","Zhang, Shaoji; Yi, Wang; Zhong, Jing; Gao, Jianbao; Lu, Zhao; Zhang, Lijun","Materials","16(1), 306",2023,"https:\u002F\u002Fwww.mdpi.com\u002F1996-1944\u002F16\u002F1\u002F306",{"title":151,"authors":152,"journal":153,"citation":154,"year":148,"type":105,"url":155},"Accelerated discovery of high-performance Al-Si-Mg-Sc casting alloys by integrating active learning with high-throughput CALPHAD calculations","Gao, Jianbao; Zhong, Jing; Liu, Guangchen; Zhang, Shaoji; Zhang, Jiali; Liu, Zuming; Song, Bo; Zhang, Lijun","Science and Technology of Advanced Materials","24(1), 2196242","https:\u002F\u002Fwww.tandfonline.com\u002Fdoi\u002Ffull\u002F10.1080\u002F14686996.2023.2196242",{"title":157,"authors":158,"journal":159,"citation":160,"year":148,"type":105,"url":161},"A novel computational model for isotropic interfacial energies in multicomponent alloys and its coupling with phase-field model with finite interface dissipation","Yang, Shenglan; Zhong, Jing; Wang, Jiong; Gao, Jianbao; Li, Qian; Zhang, Lijun","Journal of Materials Science & Technology","133, 111-122","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1005030222004984",{"title":163,"authors":133,"journal":102,"citation":164,"year":148,"type":105,"url":165},"Efficient acquisition of interdiffusion coefficients matrices and atomic mobilities of fcc Co-Mn-Cr alloys by combining diffusion couple experiments and HitDIC software","83, 102635","https:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0364591623001074",{"title":167,"authors":168,"journal":146,"citation":169,"year":170,"type":105,"url":171},"Automated Development of an Accurate Diffusion Database in Fcc AlCoCrFeNi High-Entropy Alloys from a Big Dataset of Composition Profiles","Zhong, Jing; Li, Qin; Deng, Chunming; Zhang, Lijun","15(9), 3240",2022,"https:\u002F\u002Fwww.mdpi.com\u002F1996-1944\u002F15\u002F9\u002F3240",{"title":173,"authors":174,"journal":175,"citation":176,"year":170,"type":105,"url":177},"Development of atomic mobility with quantified uncertainties directly from concentration profiles: a demo in fcc Cu–Ni–Sn system","Tang, Ying; Zhang, Biao; Zhong, Jing; Xiong, Chengyi; Cai, Jinkui; Wu, Xiaoke; Xia, Xingchuan; Zhang, Lijun","Journal of Materials Science","57(5), 3757-3776","https:\u002F\u002Fdoi.org\u002F10.1007\u002Fs10853-021-06823-z",{"title":179,"authors":180,"journal":181,"citation":182,"year":183,"type":105,"url":184},"Automation of diffusion database development in multicomponent alloys from large number of experimental composition profiles","Zhong, Jing; Chen, Li; Zhang, Lijun","npj Computational Materials","7(1), 35",2021,"http:\u002F\u002Fwww.nature.com\u002Farticles\u002Fs41524-021-00500-0",{"title":186,"authors":187,"journal":159,"citation":188,"year":189,"type":105,"url":190},"A Novel Computational Framework for Establishment of Atomic Mobility Database Directly from Composition Profiles and Its Uncertainty Quantification","Zhong, Jing; Zhang, Lijun; Wu, Xiaoke; Chen, Li; Deng, Chunming","48, 163–174",2020,"http:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS1005030220302498",{"title":192,"authors":180,"journal":175,"citation":193,"year":189,"type":105},"High-throughput determination of high-quality interdiffusion coefficients in metallic solids: A review","55(24), 10303–10338",{"title":195,"authors":196,"journal":197,"citation":198,"year":189,"type":105},"A general approach to quantify the uncertainty of interdiffusion coefficients in binary, ternary and multicomponent systems evaluated using Matano-based methods","Wu, Xiaoke; Zhong, Jing; Zhang, Lijun","Acta Materialia","188, 665-676",{"title":200,"authors":201,"journal":175,"citation":202,"year":203,"type":105},"OpenIEC: an open-source code for interfacial energy calculation in alloys","Yang, Shenglan; Zhong, Jing; Wang, Jiong; Zhang, Lijun; Kaptay, George","54(14), 10297–10311",2019,{"title":205,"authors":206,"journal":134,"citation":207,"year":203,"type":105,"url":208},"On diffusion behaviors in face centered cubic phase of Al-Co-Cr-Fe-Ni-Ti high-entropy superalloys","Chen, Shiyao; Li, Qin; Zhong, Jing; Xing, Fangzhou; Zhang, Lijun","791, 255-264","https:\u002F\u002Flinkinghub.elsevier.com\u002Fretrieve\u002Fpii\u002FS0925838819311120",{"title":210,"authors":211,"journal":102,"citation":212,"year":213,"type":105,"url":214},"HitDIC: A Free-Accessible Code for High-Throughput Determination of Interdiffusion Coefficients in Single Solution Phase","Zhong, Jing; Chen, Weimin; Zhang, Lijun","60, 177–190",2018,"http:\u002F\u002Fwww.sciencedirect.com\u002Fscience\u002Farticle\u002Fpii\u002FS0364591617301621",{"title":216,"authors":217,"journal":218,"citation":219,"year":213,"type":105,"url":220},"A Coupling Interface between Phase-Field Model with Finite Interface Dissipation and CALPHAD Thermodynamic and Atomic Mobility Databases","Zhong, Jing; Wang, Kai; Zhang, Li Jun","Defect and Diffusion Forum","383, 66–73","https:\u002F\u002Fwww.scientific.net\u002FDDF.383.66",{"title":222,"authors":223,"journal":224,"citation":225,"year":226,"type":105,"url":227},"On Sluggish Diffusion in Fcc Al–Co–Cr–Fe–Ni High-Entropy Alloys: An Experimental and Numerical Study","Li, Qin; Chen, Weimin; Zhong, Jing; Zhang, Lijun; Chen, Qing; Liu, Zi-Kui","Metals","8(1), 16",2017,"http:\u002F\u002Fwww.mdpi.com\u002F2075-4701\u002F8\u002F1\u002F16",{"title":229,"authors":230,"journal":231,"citation":232,"year":233,"type":105,"url":234},"An augmented numerical inverse method for determining the composition-dependent interdiffusivities in alloy systems by using a single diffusion couple","Chen, Weimin; Zhong, Jing; Zhang, Lijun","MRS Communications","6(3), 295–300",2016,"https:\u002F\u002Fwww.cambridge.org\u002Fcore\u002Fproduct\u002Fidentifier\u002FS2159685916000215\u002Ftype\u002Fjournal_article",{"title":48,"description":50},"academic","yLPSiDvlRgzNav64d1YvOQecF4BxRxsdyFezcyVxsiU",1792686184615]