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Anuj Chaudhri

Postdoctoral Researcher, Computational Research Division


Contact Information

Anuj Chaudhri
MS 50A-3111
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

510-486-6900 (fax)

AChaudhri (AT) lbl.gov
Personal Webpage


Overview


I am a Postdoctoral Fellow in the Center for Computational Sciences and Engineering at the Lawrence Berkeley National Laboratory. I got my Ph.D. in Applied Mechanics & Mechanical Engineering from the University of Pennsylvania in 2009 under Prof. Jennifer R. Lukes. From 2010-2012, I worked as a Postdoctoral Scholar in Theoretical Biophysics at The University of Chicago with Prof. Gregory A. Voth and a Visiting Scientist at Genentech Inc.(2011-2012). My research interests lie in the areas of statistical physics, fluid mechanics and biophysics. I am interested in the multiscale nature of nano/bio systems with focus on theoretical and computational materials modeling and high performance computing solutions for advanced simulation techniques.

Current Research

I have been working on developing algorithms for fluctuating hydrodynamics in multiphase flows. These have been used to model the effect of fluctuations in single component near-critical fluids. The numerical scheme was validated by matching static structure factors with theory and modeling the correct surface tension in planar fluctuating interfaces. [arxiv]

Two non-equilibrium examples were modeled to illustrate the capability of the numerical algorithm. In the first example, the impact of fluctuations on the spinodal decomposition was studied in both critical and off-critical quenches.

Spinodal decomposition in near-critical Argon without fluctuations (off-critical quench)

Spinodal decomposition in near-critical Argon with fluctuations (off-critical quench)


Piston effect in near-critical Argon with fluctuations
The second example studied the piston effect in a cavity filled with super-critical Argon that is quenched below the critical point using supercooled walls.

The conclusion in both cases is that thermal fluctuations affect the size and growth of the domains in off-critical quenches. I am currently working on extending the fluctuating hydrodynamics methodology to study fluctuations in electrolyte solutions. I am also interested in understanding the effect of fluctuations in dynamical wetting transitions and contact line motion.


Selected Publications

A. Chaudhri, J. Bell, A. Garcia and A. Donev "Modeling Multi-Phase Flow using Fluctuating Hydrodynamics", Phys. Rev. E, 90(3), 033014, 2014. [arxiv].

A.Chaudhri & J.R.Lukes, "Energy Conserving Dissipative Particle Dynamics for Mesoscopic Heat Transfer Simulations", Ann. Rev. Heat Transfer, 17, ch. 10, 2014. link

A.Chaudhri, I.E.Zarraga, S.Yadav, T.W.Patapoff, S.J.Shire, G.A.Voth, "The Role of Amino Acid Sequence in the Self-Association of Therapeutical Monoclonal Antibodies: Insights from coarse-grained modeling", J. Phys. Chem. B, 117, 1269-1279, 2013. link

A.Chaudhri, I.E.Zarraga, T.J.Kamerzell, J.P.Brandt, T.W.Patapoff, S.J.Shire, G.A.Voth, "Coarse Grained Modeling of Self-Association of Therapeutical Monoclonal Antibodies", J. Phys. Chem. B, 116, 8045-8057, 2012. link

A.Chaudhri & J.R.Lukes, "Velocity and Stress Autocorrelation Decay in Isothermal Dissipative Particle Dynamics", Physical Review E, 81, 026707(1-11), 2010. link

A.Chaudhri & J.R.Lukes, "Multicomponent Energy Conserving Dissipative Particle Dynamics: A General Framework for Mesoscopic Heat Transfer Applications", J. Heat Transfer, 131, 033108(1-9), 2009. link