王笑琨
近期热点
资料介绍
个人简历
教育背景 2006.09-2010.07 中央民族大学,学士2010.09-2013.07 中央民族大学,硕士2013.09-2017.01 北京科技大学,博士2017.01-至今 北京科技大大学,师资博士后研究领域
计算机图形学、虚拟现实、三维可视化"代表性项目 横向项目: 中铝瑞闽智能制造新模式-智能决策系统,主要参与人,2018.06-2019.12 科研项目: 1. 国家自然科学基金青年项目,面向多相流场景的流体交互现象模拟,主持,2018.01-2020.12 2. 中央高校基础科研资助项目,不可压缩SPH流体的多相流交互现象模拟,主持,2017.07-2019.6 3. 中国博士后基金面上项目,基于粒子方法的非牛顿流体模拟,主持,2017.12-2018.12 4. 国家自然科学基金面上项目,面向非均质流体的可交互动画,主要参与人,2016.01-2019.12 5. 国家自然科学基金青年项目,人工生命动画中的可交互流体环境研究,主要参与人,2014.01-2016.12"近期论文
代表性论著 [1] Xiaojuan Ban, Xiaokun Wang*, Liangliang He, Yalan Zhang, Lipeng Wang.Adaptively Stepped SPH for Fluid Animation Based on Asynchronous Time Integration. Neural Computing and Applications, 2018, 29(1), 33-42. (SCI, CCF C) [2] Xiaokun Wang, Xiaojuan Ban*, Yalan Zhang, Sinuo Liu, Pengfei Ye. Surface tension model based on implicit incompressible SPH for fluid Simulation. Journal of Computer Science and Technology, 2017, 32(6):1186-1197. (SCI, CCF B) [3] Xiaokun Wang, Xiaojuan Ban*, Runzi He, Xing Liu. Fluid-Solid Boundary Handling using Pairwise Interaction Model for Non-Newtonian Fluid. Symmetry, 2018, 10(4), 94. (SCI) [4] XiaoKun Wang, Xiaojuan Ban*,Xu Liu, YaLan Zhang, LiPeng Wang. Efficient Extracting Surfaces Approach Employing Anisotropic Kernels for SPH Fluids. Journal of Visualization, 2015, 19(2): 301-317. (SCI) [5] Xiaokun Wang ,Xiaojuan Ban, Yalan Zhang, Xu Liu. Rigid Body Sampling and Individual Time-Stepping for Rigid-Fluid Coupling of SPH Fluids. Scientific Programming, 2017, 4:1-11. (SCI) [6] Xiaokun Wang, XiaoJuan Ban, Sinuo Liu, Runzi He, Yuting Xu. Small-Scale Surface Details Simulation using Divergence-free SPH. Journal of Visual Languages and Computing, accept, 2018. (SCI) [7] Yalan Zhang, Xiaojuan Ban, Xiaokun Wang, et al. A Symmetry Particle Method towards Implicit Non‐Newtonian Fluids. Symmetry, 2017, 9(2):26. (SCI) [8] 王笑琨,班晓娟,刘旭,张雅斓,王礼鹏. 面向SPH流体的高效各向异性表面重构算法[J]. 计算机辅助设计与图形学学报,2016, 28(9): 1497-1505. (EI) 相关热点