Author ORCID Identifier
Date Available
3-23-2020
Year of Publication
2020
Degree Name
Master of Science in Mechanical Engineering (MSME)
Document Type
Master's Thesis
College
Engineering
Department/School/Program
Mechanical Engineering
First Advisor
Dr. Sergiy Markutsya
Second Advisor
Dr. Y. Charles Lu
Abstract
Ionic liquids, possessing improved properties in many areas of technical application, are excellent candidates as components in development of next-generation technology, including ultra-high energy batteries. If they are thus applied, however, extensive interfacial analysis of any selected ionic configuration will likely be required. Molecular dynamics (MD) provides an advantageous route by which this may be accomplished, but can fall short in observing some phenomena only present at larger time/length scales than it can simulate. Often times this is approached by coarse-graining (CG), with which scope of simulation can be significantly increased. However, coarse-grained MD systems are generally known to produce inaccurately “fast” dynamics. In this work, two different sets of ionic liquid pairs are coarse-grained from atomistic MD reference systems, expanding their system size and time duration capabilities for analysis at vacuum-interface. The dynamics of each system are corrected using the novel in-house probability distribution function coarse-graining (PDF-CG) method. The bonded structure, non-bonded structure and dynamics of each system are developed and proven to match reference system data at two temperature scales. Density profile results of vacuum-interface exposure show effects of both temperature scaling and CG method, varying significantly from bulk behavior. At the interface, a density increase, cation orientations and multilayer ordering are observed.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2020.086
Funding Information
This research was supported by NASA Kentucky under NASA award No: NNX15AR69H awarded for 2019.
Recommended Citation
Stoffel, Tyler D., "COARSE-GRAINED DYNAMICALLY ACCURATE SIMULATIONS OF IONIC LIQUIDS AT VACUUM-INTERFACE" (2020). Theses and Dissertations--Mechanical Engineering. 148.
https://uknowledge.uky.edu/me_etds/148
Included in
Complex Fluids Commons, Computational Engineering Commons, Energy Systems Commons, Nanoscience and Nanotechnology Commons, Thermodynamics Commons
