A5027022470- Particle Dynamics in Fluid Flows
- Material Dynamics and Properties
- Advanced Thermodynamics and Statistical Mechanics
- Rheology and Fluid Dynamics Studies
- Membrane-based Ion Separation Techniques
- Phase Equilibria and Thermodynamics
- Fluid Dynamics and Turbulent Flows
- Membrane Separation Technologies
- Iron oxide chemistry and applications
- Machine Learning in Materials Science
- Magnetic Properties and Synthesis of Ferrites
- Solar-Powered Water Purification Methods
- Electromagnetic wave absorption materials
- Pickering emulsions and particle stabilization
- Inorganic Chemistry and Materials
- X-ray Diffraction in Crystallography
University of Twente
2018-2020
University of Pennsylvania
2014
We investigate the size- and composition-dependent ac magnetic permeability of superparamagnetic iron oxide nanocrystals for radio frequency (RF) applications. The are obtained through high-temperature decomposition synthesis, their stoichiometry is determined by Mössbauer spectroscopy. Two sets oxides studied: (a) as-synthesized magnetite-rich (b) aged maghemite nanocrystals. All nanocrystalline samples confirmed to be in state at room temperature SQUID magnetometry. Through one-turn...
A numerical study is presented on the intrinsic viscosities of sheared dilute suspensions nonspherical Brownian colloidal particles. The simulations confirm theoretical predictions highly oblate and prolate spheroids in limits weak strong noise (i.e., for low high Péclet numbers). Numerical data fit functions are provided covering entire shear-thinning regime, ranging from to prolate. tumbling motion a hemispherical cap helix briefly discussed.
We present an efficient general method to simulate in the Stokesian limit coupled translational and rotational dynamics of arbitrarily shaped colloids subject external potential forces torques, linear flow fields, Brownian motion. The colloid’s surface is represented by a collection spherical primary particles. hydrodynamic interactions between these particles, here approximated at Rotne-Prager-Yamakawa level, are evaluated only once generate body’s (11 × 11) grand mobility matrix. constancy...
The process of design and discovery new materials can be significantly expedited simplified if we learn effectively from available data. Deep learning (DL) approaches have recently received a lot interest for their ability to speed up the novel by predicting material properties with precision close experiments ab-initio calculations. application deep predict measured are valuable yet challenging due limited amount experimental Most existing computational data also been directed towards...
Abstract Present work explores graphene-coated vanadium pentoxide (G-V 2 O 5 ) as novel electrosorption material for the desalination of low molarity saline/brackish water. During cycles, along with electrical double layer formation at graphene layer, ion intercalation is observed in honeycomb structure hydrothermally grown V leading to an improvement Na + and Cl − removal from brackish The conventional capacitance tests by pairing G-V electrodes a three-electrode cell shows remarkable value...
The deviatoric stresses of colloidal suspensions are routinely calculated using the expression introduced by Batchelor [J. Fluid Mech. 83, 97--117 (1977)]. We show example that central feature in its derivation, thermodynamic force driving particles down density gradient, is inconsistent with motion colloids. A new for stress proposed.
Theory and simulation of Brownian colloids suspended in an implicit solvent, with the hydrodynamics fluid accounted for by effective interactions between colloids, are shown to yield a marked hitherto unobserved discrepancy viscosity calculated from average shear stress under imposed rate Stokesian regime extracted Green-Kubo formalism auto-correlations thermal fluctuations quiescent equilibrium. We show that agreement both methods is recovered accounting fluctuating stresses on...