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于剑
( 副教授 )
赞
的个人主页 http://shi.buaa.edu.cn/yujian/zh_CN/index.htm
副教授 博士生导师 硕士生导师
教师英文名称:
YU Jian
教师拼音名称:
Yu Jian
电子邮箱:
c70653cef590df3da9cdb2d42db090d25b4c4072bd81681a27d7c99fad534f83bb30d39e8a2ee08df39900e2272da82960144b03ce7c85a657645dbfcaadd67933dd97204e73724bb2ce0abb5dd1aa11297a40dd2c45adea2c632a55628250f49366173e1095d2de79a46288d54a8df016cf4e8869b7f8fb781e0872f3db1cfa
所在单位:
航空科学与工程学院
职务:
Assistant Professor
办公地点:
国家计算流体力学实验室217 (学院路校区)
性别:
男
联系方式:
010-82338071
在职信息:
在职
毕业院校:
北京航空航天大学
学科:
力学
论文
当前位置:
于剑
>>
论文
[1]
Jian Yu,Deep Ray,Jan S Hesthaven.Fourier collocation and reduced basis methods for fast modeling of compressible flows:Communications in Computational Physics,2022,已录用
[2]
Jian Yu,Jan S Hesthaven.Model order reduction for compressible flows solved using the discontinuous Galerkin methods.[期刊]:Journal of Computational Physics,2022,468
[3]
Jian Yu,Jan S Hesthaven.A data-driven shock capturing approach for discontinuous Galekin methods.[期刊]:Computers and Fluids,2022,245
[4]
Zhengxiao Ma,Ruoye Xiao.Data-driven reduced order modeling for parametrized time-dependent flow problems.[期刊]:Physics of Fluids,2022,34
[5]
Ma Wenjun,Jun Zhang.Non-intrusive reduced order modeling for flowfield reconstruction based on residual neural network.[期刊]:Acta Astronautica,183:346-362
[6]
.航空航天CFD物理模型和计算方法的述评与挑战.[期刊]: 空气动力学学报,2020,38(5):829-857
[7]
.A study of several artificial viscosity models within the discontinuous Galerkin framework.[期刊]:Communications in Computational Physics,2020,27(5):1309-1343
[8]
.Non-intrusive reduced-order modeling for fluid problems: A brief review.[期刊]:Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering,2019,233(16):5896–5912
[9]
.Adaptive non-intrusive reduced order modeling for compressible flows.[期刊]:Journal of Computational Physics,2019,397:108855
[10]
.Flowfield reconstruction method using artificial neural network.[期刊]:AIAA JOURNAL,2019,57(2):482-498
共20条 1/2
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