DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Topological graph-based analysis of solid-state ion migration

Journal Article · · npj Computational Materials
ORCiD logo [1]; ORCiD logo [2];  [2]; ORCiD logo [3];  [4]
  1. Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
  2. Univ. of California, Berkeley, CA (United States)
  3. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States); Univ. of California, Berkeley, CA (United States)
  4. Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

To accelerate the development of ion conducting materials, we present a general graph-theoretic analysis framework for ion migration in any crystalline structure. The nodes of the graph represent metastable sites of the migrating ion and the edges represent discrete migration events between adjacent sites. Starting from a collection of possible metastable migration sites, the framework assigns a weight to the edges by calculating the individual migration energy barriers between those sites. Connected pathways in the periodic simulation cell corresponding to macroscopic ion migration are identified by searching for the lowest-cost cycle in the periodic migration graph. To exemplify the utility of the framework, we present the automatic analyses of Li migration in different polymorphs of VO(PO4), with the resulting identification of two distinct crystal structures with simple migration pathways demonstrating overall <300 meV migration barriers.

Research Organization:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Materials Sciences & Engineering Division (MSE)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
2229333
Journal Information:
npj Computational Materials, Vol. 9, Issue 1; ISSN 2057-3960
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

References (17)

Modeling lithium-ion solid-state electrolytes with a pinball model journal June 2018
Materials Design Rules for Multivalent Ion Mobility in Intercalation Structures journal August 2015
Nudged elastic band method for finding minimum energy paths of transitions
  • JÓNsson, Hannes; Mills, Greg; Jacobsen, Karsten W.
  • Proceedings of the International School of Physics, Classical and Quantum Dynamics in Condensed Phase Simulations https://doi.org/10.1142/9789812839664_0016
conference November 2011
LiVOPO4: A cathode material for 4V lithium ion batteries journal April 2009
High-Voltage Phosphate Cathodes for Rechargeable Ca-Ion Batteries journal September 2020
Enabling multi-electron reaction of ε-VOPO 4 to reach theoretical capacity for lithium-ion batteries journal January 2018
Density Functional Theory Modeling of MnO 2 Polymorphs as Cathodes for Multivalent Ion Batteries journal March 2018
Chevrel Phases, M x Mo 6 T 8 (M = Metals, T = S, Se, Te) as a Structural Chameleon: Changes in the Rhombohedral Framework and Triclinic Distortion journal May 2010
Layered TiS 2 Positive Electrode for Mg Batteries journal June 2016
A representation-independent electronic charge density database for crystalline materials journal October 2022
Changes in the crystal and electronic structure of LiCoO2 and LiNiO2 upon Li intercalation and de-intercalation journal January 2009
An efficient algorithm for finding the minimum energy path for cation migration in ionic materials journal August 2016
Quantum and thermal effects in H 2 dissociative adsorption: Evaluation of free energy barriers in multidimensional quantum systems journal February 1994
Commentary: The Materials Project: A materials genome approach to accelerating materials innovation journal July 2013
The Materials Application Programming Interface (API): A simple, flexible and efficient API for materials data based on REpresentational State Transfer (REST) principles journal February 2015
Autonomous Discovery of Materials for Intercalation Electrodes journal March 2020
A charge-density-based general cation insertion algorithm for generating new Li-ion cathode materials journal October 2020