Abstract
Ligand coated nanoparticles are complex objects consisting of a metallic or semiconductor core with organic ligands grafted on their surface. These organic ligands provide stability to a nanoparticle suspension. In solutions, the effective interactions between such nanoparticles are mediated through a complex interplay of interactions between the nanoparticle cores, the surrounding ligands, and the solvent molecules. While it is possible to compute these interactions using fully atomistic molecular simulations, such computations are too expensive for studying self-assembly of a large number of nanoparticles. The problem can be made tractable by removing the degrees of freedom associated with the ligand chains and solvent molecules and using the potentials of mean force (PMF) between nanoparticles. In general, the functional dependence of the PMF on the inter-particle distance is unknown and can be quite complex. In this article, we present a method to model the two-body and three-body PMF between ligand coated nanoparticles through a linear combination of symmetry functions. The method is quite general and can be extended to model interactions between different types of macromolecules.
Original language | English |
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Article number | 244901 |
Pages (from-to) | 1-9 |
Number of pages | 9 |
Journal | Journal of Chemical Physics |
Volume | 155 |
Issue number | 24 |
DOIs | |
Publication status | Published - 28 Dec 2021 |
Bibliographical note
Funding Information:The funding for this work was provided by the Department of Science and Technology, Government of India (Grant No. DST/INT/NL/P-02/2016/C), and The Netherlands Organisation for Scientific Research (NWO) (Grant No. 16DDS004). The computations were carried out using computers purchased under the Nano Mission Programme of Department of Science and Technology, Government of India [Grant No. DST/NM/NS-14/2011(C)].
Publisher Copyright:
© 2021 Author(s).
Funding
The funding for this work was provided by the Department of Science and Technology, Government of India (Grant No. DST/INT/NL/P-02/2016/C), and The Netherlands Organisation for Scientific Research (NWO) (Grant No. 16DDS004). The computations were carried out using computers purchased under the Nano Mission Programme of Department of Science and Technology, Government of India [Grant No. DST/NM/NS-14/2011(C)].