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Search Publications by: Vincent K. Shen (Fed)

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Displaying 51 - 75 of 155

Monte Carlo Simulation of Cylinders with Short-Range Attractions

September 12, 2018
Author(s)
Harold W. Hatch, Nathan Mahynski, R. P. Murphy, Marco Blanco, Vincent K. Shen
Cylindrical or rod-like particles are promising materials for the applications of fillers in nanocomposite ma- terials and additives to control rheological properties of colloidal suspensions. Recent advances in particle synthesis allows for cylinders to

Programmable assembly of three-dimensional binary superlattices from multi-flavored DNA- functionalized particles

July 10, 2018
Author(s)
Evan Pretti, Hasan Zerze, Minseok Song, Yajun Ding, Nathan Mahynski, Harold Hatch, Vincent K. Shen, Jeetain Mittal
Programmable self-assembly of nano- or micron-sized colloidal particles can be achieved by grafting single- stranded DNA sequences onto the surfaces of colloids. However, this assembly is traditionally premised on the pairwise interaction between a single

Predicting structural properties of fluids by thermodynamic extrapolation

May 16, 2018
Author(s)
Nathan Mahynski, Sally Jiao, Harold W. Hatch, Marco A. Blanco Medina, Vincent K. Shen
We describe a methodology for extrapolating the structural properties of multicomponent fluids from one thermodynamic state to another. These properties generally include features of a system that may be computed from an individual configuration such as

The Ninth Industrial Fluid Properties Simulation Challenge

May 1, 2018
Author(s)
Jonathan D. Moore, Raymond D. Mountain, Richard B. Ross, Vincent K. Shen, Daniel Siderius, Kenneth D. Smith
The Ninth Industrial Fluid Properties Simulation Challenge aimed to test the ability of molecular modeling approaches to predict water/oil interfacial tension (IFT) at conditions of high temperature and pressure. In particular, the challenge featured water

Molecular Simulation of Capillary Phase Transitions in Flexible Porous Materials

March 27, 2018
Author(s)
Vincent K. Shen, Daniel W. Siderius, Nathan Mahynski
We used at-histogram sampling Monte Carlo to study capillary phase transitions in deformable adsorbent materials. Specifically, we considered a pure adsorbate fluid below its bulk critical temperature within a slit pore of variable pore width. The

FEASST: Free Energy and Advanced Sampling Simulation Toolkit

March 1, 2018
Author(s)
Harold W. Hatch, Nathan Mahynski, Vincent K. Shen
The Free Energy and Advanced Sampling Simulation Toolkit (FEASST) is a free, open-source, modular program to conduct molecular and particle-based simulations with Metropolis, Wang-Landau and Transition-Matrix Monte Carlo methods. FEASST is implemented in C

Multivariable Extrapolation of Grand Canonical Free Energy Landscapes

December 21, 2017
Author(s)
Nathan Mahynski, Jeffrey R. Errington, Vincent K. Shen
We derive an approach for extrapolating the free energy landscape of multicomponent systems in the grand canonical ensemble, obtained from flat- histogram Monte Carlo simulations, from one set of temperature and chemical potentials to another. This is

Quasi-Two-dimensional Phase Transition of Methane Adsorbed in Cylindrical Silica Mesopores

November 29, 2017
Author(s)
Daniel W. Siderius, William P. Krekelberg, Wei-Shan NMN Chiang, Vincent K. Shen, Yun Liu
Using Monte Carlo and molecular dynamics simulations, we examine the adsorption of methane in cylindrical silica mesopores in an effort to understand a possible phase transition of adsorbed methane in MCM-41 and SBA-15 silica that was previously identified

Temperature extrapolation of multicomponent grand canonical free energy landscapes

August 7, 2017
Author(s)
Nathan Mahynski, Jeffrey R. Errington, Vincent K. Shen
We derive a method for extrapolating the grand canonical free energy landscape of a multicomponent fluid system from one temperature to another. Previously, we introduced this statistical mechanical framework for the case where kinetic energy contributions
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