Abstract
Solid-state batteries (SSBs) represent a transformative technology with the potential to redefine energy storage in various applications, including portable electronics, electric vehicles, and renewable energy systems. However, the intricate interplay of materials and interfaces within SSBs poses significant challenges in realizing their full potential. In this perspective, we highlight the potential of integration of NASICON (Sodium Superionic Conductor) materials into SSB architectures to address compatibility issues and enhance overall performance. We also showcase that, by employing machine learning techniques and a data-driven approach, structure-function relationships governing NASICON materials’ ionic conductivity can be perceived. This eliminates the need for computationally intensive first-principles calculations and offers insights into the mechanism of improving ion transport. Our findings highlight the promise of NASICON-type materials in overcoming chemical, mechanical, and electrochemical disparities at interfaces and interphases, offering a promising path forward for the development of high-performance SSBs.
Original language | English |
---|---|
Pages (from-to) | 1088-1093 |
Number of pages | 6 |
Journal | JOM |
Volume | 76 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2024 |
Funding
This manuscript has been authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the US Department of Energy (DOE). The US government retains and the publisher, by accepting the article for publication, acknowledges that the US government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for US government purposes. DOE will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ). This research at Oak Ridge National Laboratory, managed by UT Battelle, LLC, for the US Department of Energy (DOE) under contract DE-AC05-00OR22725, was sponsored by Laboratory Directed Research and Development (LDRD) Program at Oak Ridge National Laboratory, and the Office of Energy Efficiency and Renewable Energy (EERE) Vehicle Technologies Office (VTO) Applied Battery Research subprogram. Marm Dixit is supported by the Alvin M. Weinberg Fellowship at Oak Ridge National Laboratory.
Funders | Funder number |
---|---|
U.S. Department of Energy | DE-AC05-00OR22725 |
Office of Energy Efficiency and Renewable Energy | |
Oak Ridge National Laboratory | |
Laboratory Directed Research and Development | |
UT-Battelle |