Chuncheng Li,Yao Lu,Lei Liu,Meng Deng,Zhaochuan Fan
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A Particle-Based Implicit Solvent Model for Short-Range Oscillatory Solvation Forces.
Experimental and theoretical studies have demonstrated that when two parallel surfaces approach within nanometer separations, ordered layering of solvent molecules in the confined region gives rise to pronounced short-range, periodic oscillatory forces. However, the high computational expense of explicit solvent simulations has hindered detailed exploration of how these oscillatory forces regulate colloidal assembly dynamics. We develop an implicit solvent model for surfaces grafted with nonpolar ligands in nonpolar solvents, which resolves angle-dependent oscillatory solvation forces with molecular-level fidelity and computational efficiency, parametrized using explicit-solvent potential of mean force profiles. Microsecond-scale implicit solvent simulations of colloidal systems containing hundreds of nanoparticles further uncover that assembly pathways and phase behavior critically depend on particle shape and size. This efficient modeling framework offers a robust theoretical and numerical tool for elucidating solvent-mediated self-assembly mechanisms and for precision control of colloidal architectures.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.