Computational Research in Boston and Beyond Seminar (CRIBB)

Friday, November 06, 2020 at 12:00pm to 1:00pm

Virtual Event

SPREAKER:  Emily Crabb  (MIT)

TITLEImportance Of Equilibration Method And Sampling For Ab Initio Molecular Dynamics Simulations Of Solvent - Lithium Salt Systems In Lithium-Oxygen Batteries

ABSTRACT:

Lithium-oxygen batteries are an active area of research because of their potential to have a much higher energy density than traditional lithium-ion batteries.  However, they are not yet commercially viable due to poor efficiency, high charging voltages, and low cycle lifetimes.  Many of these issues could be addressed with a deeper fundamental understanding of the atomistic behavior of these batteries.  One tool to model such atomic scale behavior is ab initio molecular dynamics (AIMD) simulations. However, AIMD simulations are limited to timescales of tens of picoseconds due to their high computational cost.  As a result, equilibration and sampling methodologies can have a significant effect on the behavior of AIMD simulations.  We thus compared two equilibration methods for AIMD simulations of systems of common solvents and salts found in lithium air batteries: (1) using an AIMD temperature ramp and (2) using a classical MD simulation followed by a short AIMD simulation all at the target simulation temperature of 300 K.  We also compared two different classical all-atom force fields (PCFF+ and OPLS) and performed multiple simulations for each system.  In this talk, I will discuss why lithium-oxygen batteries are an exciting area of research, why computational tools such as AIMD are critical to this field, and how the differences between our simulation results and experimental results for properties such as coordination number illustrate the importance of both equilibration method and independent sampling for extracting experimentally relevant quantities from AIMD simulations, with applications in battery development and beyond.

ZOOM MEETING info:

https://mit.zoom.us/j/96155042770

Meeting ID: 961 5504 2770

Event Type

Conferences/Seminars/Lectures

Events By Interest

Academic

Events By Audience

Public

Events By School

School of Science

Website

https://math.mit.edu/crib/

Department
Department of Mathematics
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