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Title: Phase-field based Multiscale Modeling of Heterogeneous Solid Electrolytes: Applications to Nanoporous Li 3 PS 4

Abstract

Modeling the effective ion conductivities of heterogeneous solid electrolytes typically involves the use of a computer-generated microstructure consisting of randomly or uniformly oriented fillers in a matrix. But, the structural features of the filler/matrix interface, which critically determine the interface ion conductivity and the microstructure morphology, have not been considered during the microstructure generation. In using nanoporous β-Li 3PS 4 electrolyte as an example, we develop a phase-field model that enables generating nanoporous microstructures of different porosities and connectivity patterns based on the depth and the energy of the surface (pore/electrolyte interface), both of which are predicted through density functional theory (DFT) calculations. Room-temperature effective ion conductivities of the generated microstructures are then calculated numerically, using DFT-estimated surface Li-ion conductivity (3.14×10 -3 S/cm) and experimentally measured bulk Li-ion conductivity (8.93×10 -7 S/cm) of β-Li 3PS 4 as the inputs. We also use the generated microstructures to inform effective medium theories to rapidly predict the effective ion conductivity via analytical calculations. Furthemore, when porosity approaches the percolation threshold, both the numerical and analytical methods predict a significantly enhanced Li-ion conductivity (1.74×10 -4 S/cm) that is in good agreement with experimental data (1.64×10 -4 S/cm). The present phase-field based multiscale model ismore » generally applicable to predict both the microstructure patterns and the effective properties of heterogeneous solid electrolytes.« less

Authors:
 [1];  [1];  [1];  [1];  [1];  [1];  [1]
  1. Pennsylvania State Univ., University Park, PA (United States). Dept. of Materials Science and Engineering
Publication Date:
Research Org.:
Pennsylvania State Univ., University Park, PA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); National Science Foundation (NSF)
OSTI Identifier:
1379179
Grant/Contract Number:
FG02-07ER46417; DMR-1410714; DMR-1629270
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
ACS Applied Materials and Interfaces
Additional Journal Information:
Journal Volume: 9; Journal Issue: 38; Journal ID: ISSN 1944-8244
Publisher:
American Chemical Society (ACS)
Country of Publication:
United States
Language:
English
Subject:
36 MATERIALS SCIENCE; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; solid electrolytes; ion conductivity; density functional theory; phase-field modeling; effective medium theory

Citation Formats

Hu, Jia-Mian, Wang, Bo, Ji, Yanzhou, Yang, Tiannan, Cheng, Xiaoxing, Wang, Yi, and Chen, Long-Qing. Phase-field based Multiscale Modeling of Heterogeneous Solid Electrolytes: Applications to Nanoporous Li 3 PS 4. United States: N. p., 2017. Web. doi:10.1021/acsami.7b11292.
Hu, Jia-Mian, Wang, Bo, Ji, Yanzhou, Yang, Tiannan, Cheng, Xiaoxing, Wang, Yi, & Chen, Long-Qing. Phase-field based Multiscale Modeling of Heterogeneous Solid Electrolytes: Applications to Nanoporous Li 3 PS 4. United States. doi:10.1021/acsami.7b11292.
Hu, Jia-Mian, Wang, Bo, Ji, Yanzhou, Yang, Tiannan, Cheng, Xiaoxing, Wang, Yi, and Chen, Long-Qing. Thu . "Phase-field based Multiscale Modeling of Heterogeneous Solid Electrolytes: Applications to Nanoporous Li 3 PS 4". United States. doi:10.1021/acsami.7b11292.
@article{osti_1379179,
title = {Phase-field based Multiscale Modeling of Heterogeneous Solid Electrolytes: Applications to Nanoporous Li 3 PS 4},
author = {Hu, Jia-Mian and Wang, Bo and Ji, Yanzhou and Yang, Tiannan and Cheng, Xiaoxing and Wang, Yi and Chen, Long-Qing},
abstractNote = {Modeling the effective ion conductivities of heterogeneous solid electrolytes typically involves the use of a computer-generated microstructure consisting of randomly or uniformly oriented fillers in a matrix. But, the structural features of the filler/matrix interface, which critically determine the interface ion conductivity and the microstructure morphology, have not been considered during the microstructure generation. In using nanoporous β-Li3PS4 electrolyte as an example, we develop a phase-field model that enables generating nanoporous microstructures of different porosities and connectivity patterns based on the depth and the energy of the surface (pore/electrolyte interface), both of which are predicted through density functional theory (DFT) calculations. Room-temperature effective ion conductivities of the generated microstructures are then calculated numerically, using DFT-estimated surface Li-ion conductivity (3.14×10-3 S/cm) and experimentally measured bulk Li-ion conductivity (8.93×10-7 S/cm) of β-Li3PS4 as the inputs. We also use the generated microstructures to inform effective medium theories to rapidly predict the effective ion conductivity via analytical calculations. Furthemore, when porosity approaches the percolation threshold, both the numerical and analytical methods predict a significantly enhanced Li-ion conductivity (1.74×10-4 S/cm) that is in good agreement with experimental data (1.64×10-4 S/cm). The present phase-field based multiscale model is generally applicable to predict both the microstructure patterns and the effective properties of heterogeneous solid electrolytes.},
doi = {10.1021/acsami.7b11292},
journal = {ACS Applied Materials and Interfaces},
number = 38,
volume = 9,
place = {United States},
year = {Thu Sep 07 00:00:00 EDT 2017},
month = {Thu Sep 07 00:00:00 EDT 2017}
}

Journal Article:
Free Publicly Available Full Text
This content will become publicly available on September 7, 2018
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