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Moran Wang

Oppenheimer Fellow
EES-16/T-4/CNLS

Thermophysics / Microfludics & Nanofluidics / New Energy

Moran Wang

Office: TA-3, Bldg 1690, Room 130
Mail Stop: T003
Phone: (505) 664-0698
Fax: (505) 665-8737

mwang@lanl.gov
home page

Research highlight
  • multiscale simulation of multi-physical and chemical transport in electrokinetic flow in complex system
  • morphology and phase interaction effects on effective properties of multiphase media
  • micro- and nanoscale gas flow and heat transfer
  • optimization of transport network
 Educational Background/Employment:
  • B.E. Engineering Thermophysics, Tsinghua University, China, 1999
  • M.S. Engineering Thermophysics, Tsinghua University, China, 2001 (Thesis: Experimental Investigation and Mechanism Analysis of the Thermally Driven Phase Transition Micropump)
  • Ph.D. Power Engineering and Engineering Thermophysics, Tsinghua University, China, 2004 (Thesis: Monte Carlo Simulations on Micro- and Nanoscale Gas Flow and Heat Transfer)
  • Professional Training:
    • 2008.5 - present Oppenheimer Fellow @ EES16&T4&CNLS, Los Alamos National Laboratory
    • 2006.3 - 2008.5 Postdoctoral Scholar @ NEAT&BAE, University of California Davis
    • 2007.1 - 2008.5 Visiting Scientist @ ME, Johns Hopkins University
    • 2004.9 - 2006.2 Postdoctoral Research Fellow @ ME, Johns Hopkins University
    • 2001.11- 2004.7 Research Assistant @ DEM/SOA, Tsinghua University
    • 1999.9 - 2001.11 Research Assistant @ DEM, Tsinghua University

Research Interests:

  • Multiscale Multiphysical and Multiphase (M3) transports in Complex Systems
  • Microfluidics and Heat Transfer; Nanofluidics
  • Optimization in Complex Energy Systems
  • Physics of Soft Matter; Multi-functional Materials
  • Renewable Energy; Fuel cells; Li-batteries; Solar cells
  • Electrokinetic flow; Chemical Reactive Flows; Interface Flow; Electrowetting
  • Microsystems in Aerospace, Materials, Bio-medicine, Energy and Environment
  • Multiscale modeling; Hybrid atomistic-continuum algorithms
  • Computational Fluid Mechanics; Mesoscopic Modeling; Atomistic Simulations

Selected Recent Publications:

  1. M. Wang and Q. Kang. Electrokinetic transport in microchannels with random roughness. Analytical Chemistry 81 (8), 2953-2961, 2009
  2. M. Wang and Q. Kang. Modeling electrokinetic flows in microchannels using coupled lattice Boltzmann methods. Journal of Computational Physics In Press, 2009
  3. M. Wang, and N. Pan. Elastic property of multiphase composites with random microstructures. Journal of Computational Physics 228 : 5978-5988, 2009
  4. Q. Chen, M. Wang, N. Pan, and Z. Guo. Optimization principles for convective heat transfer. Energy, 34 (9): 1199-1206, 2009
  5. Q. Chen, M. Wang, N. Pan, and Z. Guo. Optimization Principle for Varying Viscosity Fluid Flow and Its Application to Heavy Oil Flow Drag Reduction. Energy and Fuels, 23 , 4470–4478, 2009
  6. Q. Chen, M. Wang, N. Pan, and Z. Guo. Irreversibility of heat conduction in complex multiphase systems and its application to the effective thermal conductivity of porous media. International Journal of Non-linear Science and Numerical Simulations 10 (1): 57-66, 2009
  7. B. Ding, M. Wang, J. Yu and G. Sun. Gas Sensors Based on Electrospun Nanofibers. Sensors, 9(3), 1609-1624 (doi:10.3390/s90301609), 2009
  8. M. Wang, Q. Kang, and N. Pan. Thermal conductivity enhancement of carbon fiber composites. Appl. Therm. Eng. 29: 418-421, 2009
  9. M. Wang, N. Pan. Predictions of Effective Physical Properties of Complex Multiphase Materials. Material Science and Engineering-R: Reports. 63(1): 1-30, 2008
  10. M. Wang, and N. Pan. Modeling and prediction of the Effective Thermal Conductivity of Random Open-cell Porous Foams. Int. J. Heat Mass Transfer. 51(5-6): 1325-1331, 2008
  11. M. Wang, and S. Chen. On applicability of Poisson-Boltzmann equation for micro- and nanoscale electroosmotic flows. Communications in Computational Physics 3(5): 1087-1099, 2008
  12. M. Wang, X. Lan and Z. Li. Analysis of Gas flows in Micro- and Nanochannels. Int. J. Heat Mass Transfer. 51(13-14): 3630-3641, 2008
  13. M. Wang, J. Liu, and S. Chen. Electric potential distribution in nanoscale electroosmosis: from molecules to continuum. Molecular Simulation. 33(15): 1273 - 1277, 2007
  14. M. Wang, J. Liu, S. Chen. Similarity of Electro-osmotic flows in nanochannels. Molecular Simulation. 33(3): 239-244, 2007
  15. M. Wang, J. Wang, N. Pan, and Shiyi Chen. Mesoscopic Predictions of the Effective Thermal Conductivity of Microscale Random Porous Media. Physical Review E. 75: 036702, 2007
  16. M. Wang, F. Meng, and N. Pan. Transport properties of functionally graded materials. Journal of Applied Physics 102: 033514, 2007 (also be selected for the August 27, 2007 issue of Virtual Journal of Nanoscale Science & Technology)
  17. M. Wang, and N. Pan. Numerical analyses of the effective dielectric constant of multiphase microporous media. Journal of Applied Physics 101: 114102, 2007
  18. M. Wang, J. Wang, N. Pan, S. Chen, and J. He. Three dimensional effect on the effective thermal conductivity of porous media. J. Phys. D: Appl. Phys. 40(1): 260¨C265, 2007
  19. M. Wang, N. Pan, J. Wang, and S. Chen. Mesoscopic simulations of phase distribution effects on the effective thermal conductivity of micro porous media. J. Colloid Interface Sci. 311(2): 562-570, 2007
  20. M. Wang, J. He, J. Yu and N. Pan. Lattice Boltzmann modeling of the effective thermal conductivity for fibrous materials. Int. J. Thermal Sci. 46(9): 848-855, 2007
  21. M. Wang, and S. Chen. Electroosmosis in homogeneously charged micro- and nanoscale random porous media. J. Colloid Interface Sci. 314(1): 264-273, 2007
  22. M. Wang, J. Wang, and S. Chen. Roughness and Cavitations effects on Electro-osmotic Flows in Rough Microchannels using the Lattice Poisson-Boltzmann Methods. Journal of Computational Physics. 226(1): 836-851, 2007
  23. J. Wang, M. Wang, and Z. Li. A Lattice Boltzmann Algorithm for Fluid-Solid Conjugate Heat Transfer. Int. J. Thermal Sci. 46(3) 228-234, 2007
  24. M. Wang, Z. Li. An Enskog based Monte Carlo method for high Knudsen number non-ideal gas flows. Computer & Fluids 36(8): 1291-1297, 2007
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