An investigation of the structural properties of Li and Na fast ion conductors using high-throughput bond-valence calculations and machine learning
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An investigation of the structural properties of Li and Na fast ion conductors using high-throughput bond-valence calculations and machine learning
Authors
Keywords
-
Journal
JOURNAL OF APPLIED CRYSTALLOGRAPHY
Volume 52, Issue 1, Pages 148-157
Publisher
International Union of Crystallography (IUCr)
Online
2019-02-01
DOI
10.1107/s1600576718018484
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Materials space of solid-state electrolytes: unraveling chemical composition–structure–ionic conductivity relationships in garnet-type metal oxides using cheminformatics virtual screening approaches
- (2017) Natalia Kireeva et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Bond softness sensitive bond-valence parameters for crystal structure plausibility tests
- (2017) Haomin Chen et al. IUCrJ
- Sodium Ion Diffusion in Nasicon (Na3Zr2Si2PO12) Solid Electrolytes: Effects of Excess Sodium
- (2016) Heetaek Park et al. ACS Applied Materials & Interfaces
- Data-Driven First-Principles Methods for the Study and Design of Alkali Superionic Conductors
- (2016) Zhi Deng et al. CHEMISTRY OF MATERIALS
- Origins of Bistability and Na Ion Mobility Difference in P2- and O3-Na2/3Fe2/3Mn1/3O2Cathode Polymorphs
- (2016) Nebil A. Katcho et al. Advanced Energy Materials
- Computational studies of solid-state alkali conduction in rechargeable alkali-ion batteries
- (2016) Zhi Deng et al. NPG Asia Materials
- Computational predictions of energy materials using density functional theory
- (2016) Anubhav Jain et al. Nature Reviews Materials
- Inorganic Solid-State Electrolytes for Lithium Batteries: Mechanisms and Properties Governing Ion Conduction
- (2015) John Christopher Bachman et al. CHEMICAL REVIEWS
- The Electrolyte Genome project: A big data approach in battery materials discovery
- (2015) Xiaohui Qu et al. COMPUTATIONAL MATERIALS SCIENCE
- Efficient automatic screening for Li ion conductive inorganic oxides with bond valence pathway models and percolation algorithm
- (2015) Masanobu Nakayama et al. JAPANESE JOURNAL OF APPLIED PHYSICS
- Toward New Solvents for EDLCs: From Computational Screening to Electrochemical Validation
- (2015) Christoph Schütter et al. Journal of Physical Chemistry C
- Accelerating Electrolyte Discovery for Energy Storage with High-Throughput Screening
- (2015) Lei Cheng et al. Journal of Physical Chemistry Letters
- Towards high throughput screening of electrochemical stability of battery electrolytes
- (2015) Oleg Borodin et al. NANOTECHNOLOGY
- Charting the known chemical space for non-aqueous lithium–air battery electrolyte solvents
- (2015) Tamara Husch et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- High-throughput design and optimization of fast lithium ion conductors by the combination of bond-valence method and density functional theory
- (2015) Ruijuan Xiao et al. Scientific Reports
- Garnet-type solid-state fast Li ion conductors for Li batteries: critical review
- (2014) Venkataraman Thangadurai et al. CHEMICAL SOCIETY REVIEWS
- Screening possible solid electrolytes by calculating the conduction pathways using Bond Valence method
- (2014) Jian Gao et al. Science China-Physics Mechanics & Astronomy
- Lithium and sodium battery cathode materials: computational insights into voltage, diffusion and nanostructural properties
- (2013) M. Saiful Islam et al. CHEMICAL SOCIETY REVIEWS
- 3DBVSMAPPER: a program for automatically generating bond-valence sum landscapes
- (2012) Matthew Sale et al. JOURNAL OF APPLIED CRYSTALLOGRAPHY
- From the computer to the laboratory: materials discovery and design using first-principles calculations
- (2012) Geoffroy Hautier et al. JOURNAL OF MATERIALS SCIENCE
- A hybrid computational–experimental approach for automated crystal structure solution
- (2012) Bryce Meredig et al. NATURE MATERIALS
- Screening of the alkali-metal ion containing materials from the Inorganic Crystal Structure Database (ICSD) for high ionic conductivity pathways using the bond valence method
- (2012) Max Avdeev et al. SOLID STATE IONICS
- High-Throughput Computational Screening of New Li-Ion Battery Anode Materials
- (2012) Scott Kirklin et al. Advanced Energy Materials
- Phosphates as Lithium-Ion Battery Cathodes: An Evaluation Based on High-Throughputab InitioCalculations
- (2011) Geoffroy Hautier et al. CHEMISTRY OF MATERIALS
- Opportunities and challenges for first-principles materials design and applications to Li battery materials
- (2011) Gerbrand Ceder MRS BULLETIN
- A lithium superionic conductor
- (2011) Noriaki Kamaya et al. NATURE MATERIALS
- High power lithium ion battery materials by computational design
- (2011) Stefan Adams et al. PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE
- Recent Developments in the Methods and Applications of the Bond Valence Model
- (2009) Ian David Brown CHEMICAL REVIEWS
- First principles computational materials design for energy storage materials in lithium ion batteries
- (2009) Ying Shirley Meng et al. Energy & Environmental Science
- Advanced materials for sodium-beta alumina batteries: Status, challenges and perspectives
- (2009) Xiaochuan Lu et al. JOURNAL OF POWER SOURCES
- Li6PS5X: A Class of Crystalline Li-Rich Solids With an Unusually High Li+ Mobility
- (2007) Hans-Jörg Deiseroth et al. ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started