[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tags-groups":3,"chains-groupcat":4,"experts-list":5,"experts-coverage":96},[],[],{"list":6,"total":93,"page":94,"pageSize":95,"totalPages":94},[7,25,66],{"id":8,"name":9,"orgName":10,"school":11,"gender":12,"title":13,"degree":14,"honor":15,"position":15,"researchDirection":16,"intro":17,"province":18,"completeness":19,"avatarAuthorized":20,"sourceUrl":21,"nameValid":22,"tags":23,"tagNames":24},"d2de649c-f9c7-f518-85dc-7e5c483d4a8a","凤永刚","长安大学地球科学与资源学院","长安大学","男","教授","博士",null,"（1）稀有、稀土金属矿床成因及成矿流体地球化学；（2）水-岩相互作用过程中成矿元素的迁移；（3）矿物及熔-流体包裹体微区分析技术（电子探针、LA-ICP-MS、共焦激光拉曼、FIB、UV-vis-IR等）。Research interests(1) ore-forming processes in rare earth and rare-metal deposits and geochemistry of ore-forming fluids;(2) transfer of ore-forming elements during water-rock interaction;(3) in situ analytical methods (EPMA, LA-ICP-MS, Laser Raman spectroscopy, FIB, UV-vis-IR etc.) applied to minerals and fluid\u002Fmelt inclusions","凤永刚，教授，博士生\u002F硕士导师。从事与花岗岩、花岗伟晶岩相关的稀有、稀土金属矿床研究，结合系统的矿物学、岩石学及成矿流体地球化学对稀有金属成矿作用进行深入剖析。同时负责长安大学成矿作用及其动力学实验室流体包裹体研究设备（显微测温冷热台、共焦激光拉曼光谱仪）。至今，主持国家自然科学基金青年和面上项目各1项、国家重大专项\u002F研究计划专题2项及省部级项目2项，参与国家级重大研发计划项目1项及2项加拿大国家自然科学基金项目。招生方向：（1）伟晶岩型Li-Be-Rb-Cs-Nb-Ta稀有金属矿床的精细矿物学研究，细致的岩相学工作结合先进原位微区分析技术（电子探针、激光共焦拉曼光谱仪、激光剥蚀等离子质谱分析）研究伟晶岩中关键矿物（石榴子石、电气石、铌钽铁矿等）在岩浆-热液及矿化过程中成分的变化，以揭示成岩成矿作用。（2）实验岩石学方法定量研究关键金属元素在伟晶岩成矿作用中的地球化学行为，如熔体-流体分离过程中元素的分配系数、P和F在花岗质熔体中的溶解度对矿化过程的影响。支撑项目：1.《伟晶岩熔体不混溶现象对稀有金属元素成矿的影响：以新疆卡鲁安稀有金属伟晶岩为例》，国家自然科学基金面上项目，2025\u002F01-2028\u002F122.《新疆大红柳滩锂矿床中富锂磷酸盐矿物成因及其对锂矿化的指示意义》，国家自然科学基金青年项目，2020\u002F01-2022\u002F123.《东秦岭锂铍铌钽成矿规律及找矿前景研究》，国家重大研发计划“深地项目”专题研究，2019\u002F12-2022\u002F114. 《东天山富铷花岗岩的矿物学与包裹体地质学》，国家自然科学基金重大研究计划项目子课题，2020\u002F01-2023\u002F12。5. 《铌钽铁矿蜕晶质化对U-Pb同位素年龄影响》，陕西省自然科学基金，2020\u002F1-2021\u002F12，主持。 \n                                \n                                \n                                    \n                                         社会职务","陕西",96,false,"http:\u002F\u002Fjs.chd.edu.cn\u002Fdqkxyzyxy\u002Ffyg\u002Flist.htm",true,[],[],{"id":26,"name":27,"orgName":28,"school":29,"gender":15,"title":13,"degree":15,"honor":15,"position":15,"researchDirection":30,"intro":31,"province":18,"completeness":32,"avatarAuthorized":20,"sourceUrl":33,"nameValid":22,"tags":34,"tagNames":65},"d8388776-6d0f-4e61-8c55-0d9c6e72479f","赵海霞","西安交通大学数学与统计学院","西安交通大学","深度学习在地震波探测与信号处理中的应用， PDE和深度学习、多物理耦合介质波动理论 及其高精度高效数值模拟；Research interests: Deep learning for seism ic wave exploration and signal processing, PDE and Deep learning,Wave theory and high-precision high-efficiency numerical simulation for multi-physics coupled media；应用背景 ： 地球探测、高铁、油气勘探、金属矿类探测 等；基于深度学习目标检测、识别和测量；基于 3D 点云的目标检测和测量；Research interests: Deep learning for target detection, recognition, measurement; Target detection and measurement based on 3D point cloud.；应用背景： 智能制造，航空航天，质量检测 等","【产业方向】人工智能",67,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fhaixia_zhao\u002Fzh_CN\u002Findex.htm",[35,38,41,44,47,50,53,56,59,62],{"code":36,"name":37},"CH-09","航空航天",{"code":39,"name":40},"CH-28","交通",{"code":42,"name":43},"CH-30","制造",{"code":45,"name":46},"CH-33","人工智能",{"code":48,"name":49},"GB-07","石油和天然气开采业",{"code":51,"name":52},"GB-37","铁路、船舶、航空航天和其他运输设备制造业",{"code":54,"name":55},"GB-56","航空运输业",{"code":57,"name":58},"GB-74","专业技术服务业",{"code":60,"name":61},"SEI-01","新一代信息技术产业",{"code":63,"name":64},"SEI-02","高端装备制造产业",[37,40,43,46,49,52,55,58,61,64],{"id":67,"name":68,"orgName":69,"school":29,"gender":70,"title":13,"degree":15,"honor":15,"position":15,"researchDirection":71,"intro":72,"province":18,"completeness":73,"avatarAuthorized":20,"sourceUrl":74,"nameValid":22,"tags":75,"tagNames":92},"0ae7c022-672e-43ac-a831-f5bcdf28456c","贝耐芳","西安交通大学人居环境与建筑工程学院","女","Research interests；mesoscale numerical simulation；mesoscale predictability；data assimilation；air pollution simulation；Representative publications；Bei, N. , L. Zhao, J. Wu, et al., 2018: Impacts of sea-land and mountain-valley circulations on the air pollution；in Beijing-Tianjin- Hebei (BTH): A case study, Environmental Pollution, 234, 429-438.；Bei, N. , L. Zhao, B. Xiao, N. Meng, and T. Feng, 2017: Impacts of local circulations on the wintertime air；pollution in the Guanzhong Basin, China, Science of the Total Environment, 592, 373-390.；Bei, N. , G. Li, Huang, Huang, J. Cao, N. Meng, T. Feng, S. Liu, T. Zhang, Q. Zhang, and L. T. Molina, 2016: Typical synoptic situations and their impacts on the wintertime air pollution in the Guanzhong basin, China, Atmos. Chem. Phys., 16, 7373-7387.；Bei, N. , B. Xiao, N. Meng, and T. Feng, 2016: Critical role of meteorological conditions in a persistent haze episode in the Guanzhong basin, China, Science of the Total Environment, 550, 273–284.；Bei, N. , G. Li, Z. Meng, Y. Weng, M. Zavala, and L. T. Molina, 2014: Impacts of using an ensemble Kalman filter on air quality simulations along the California–Mexico border region during Cal–Mex 2010 Field Campaign, Sci. Total Environ ., 499, 141–153.；Bei, N. and F. Zhang, 2014: Mesoscale predictability of moist baroclinic waves: Variable and scale-dependent error growth, Adv. Atmos. Sci., 31 (5), 995–1008.；Bei, N. , G. Li, M. Zavala, et al., 2013: Meteorological overview and plume transport patterns during Cal-Mex；2010, Atmos . Environ . , 70:477– 489.；Bei, N ., G. Li, and L. T. Molina, 2012a: Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign, Atmos. Chem. Phys ., 12, 11295–11308.；Bei, N. , F. Zhang, and J. W. Nielsen-Gammon, 2012b: Ensemble-based observation targeting for improving ozone prediction in Houston and the surrounding area, Pure Appl. Geophys . , 169, 539–554.；Bei, N ., W. Lei, M. Zavala, and L. T. Molina , 2010 : Ozone predictabilities due to meteorological uncertainties in Mexico City Basin using ensemble forecasts, Atmos. Chem. Phys ., 10, 6295 – 6309 .；Bei, N ., B. de Foy, W. Lei, M. Zavala, and L. T. Molina, 2008: Using 3DVAR data assimilation system to improve ozone simulations in the Mexico City basin, Atmos. Chem. Phys . , 8, 7353 – 7366.；Bei, N. , and F. Zhang, 2007: Impacts of Initial Error Scale and Amplitude on the Mesoscale Predictability of Heavy Precipitation along the Mei-Yu Front of China, Quart . J . Roy . Meteo r. Soc . , 133, 83–99.；Bei, N., S.Zhao and S. Gao, 2002 : Numerical simulation of a heavy rainfall of a heavy rainfall event in China；during july 1998, Meteorol Atmos Phys, 80, 153-164 .","【产业方向】节能环保",59,"https:\u002F\u002Fgr.xjtu.edu.cn\u002Fbei.naifang\u002Fzh_CN\u002Findex.htm",[76,79,82,83,86,89],{"code":77,"name":78},"CH-22","绿色环保",{"code":80,"name":81},"CH-27","建筑",{"code":39,"name":40},{"code":84,"name":85},"FU-07","元宇宙",{"code":87,"name":88},"GB-77","生态保护和环境治理业",{"code":90,"name":91},"SEI-07","节能环保产业",[78,81,40,85,88,91],3,1,30,{"schools":97},297]