Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und Molekulare Biowissenschaften

Dr. Yong Wang

Group Leader at the Max Planck Institute for Dynamics and Self-Organization


  • 2004 Bachelor of Engineering in Process Equipment & Controlling Engineering, Bachelor of Science in Applied Mathematics, Xi'an Jiaotong University, China
  • 2010 PhD in Engineering Thermal Physics, Xi'an Jiaotong University, China
  • 2011 - 2015 Postdoctoral researcher, University of California, Irvine, USA
  • Since 2015 Junior Faculty (Group leader), Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany



Major Research Interests
Biofluid dynamics includes the analysis, control, and manipulation of fluid flow inside living mammals, and acts as a bridge between physics and medicine. At Max Planck Institute for Dynamics and Self-Organization in Göttingen, I focus on underlying mechanics of biofluidics and corresponding numerical methods. My major research interests include:


  • Multiphysics (blood flow + electromechanics) in the human heart;
  • Cilia driven flow in the mammalian brain, airway and embryo;
  • Turbulent airflow and particle delivery in human upper airway;
  • Numerical methods for fluid dynamics and heat transfer;
  • Numerical technologies for fluid-structure interaction.




Homepage Department/Research Group
http://www.lfpn.ds.mpg.de/biophysics/Wang.html


Selected Recent Publications


  • X D Bai, W Zhang, A X Guo, Y Wang (2016) The flip-flopping wake pattern behind two side-by-side circular cylinders: a global stability analysis. Physics of Fluid, 28: 044102

  • F B Tian, Y Wang, J Young, J C S Lai (2015) An FSI solution technique based on the DSD/SS method and its applications. Mathematical Models and Methods in Applied Sciences, 25: 2257-2285

  • Y Wang, D K Sun, Y L He and W Q Tao (2015) Lattice Boltzmann Study on Thermoacoustic Onset in a Rijke Tube. European Physical Journal Plus, 130: 9

  • Y Wang and S Elghobashi (2014) On locating the obstruction in the upper airway via numerical simulation. Respiratory Physiology & Neurobiology, 193: 1-10

  • D Sun, Y Wang, D Jiang, N Xiang, K Chen, Z Ni (2013) Dynamic self-assembly of particles in an expanding channel flow. Applied Physics Letters, 103 (7): 071905

  • Y Wang, Y L He, Q Li and G H Tang (2008) Numerical simulations of gas resonant oscillations in a closed tube using lattice Boltzmann method. International Journal of Heat and Mass Transfer, 51: 3082-3090