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Meeting 2023 TMS Annual Meeting & Exhibition
Symposium Hume-Rothery Symposium on First-Principles Materials Design
Presentation Title Disorder and Degradation in Rock-salt-type Lithium-ion Battery Cathodes
Author(s) Alexander Urban
On-Site Speaker (Planned) Alexander Urban
Abstract Scope Currently, the most energy-dense lithium-ion batteries are based on rock-salt-type cathodes, and improving on the prior art without sacrificing lifetime has been a formidable challenge. Here I will review our current understanding of structure-composition-stability/capacity relationships in rock-salt-type electrodes, obtained from first-principles calculations, percolation theory, model Hamiltonian analysis, computational phase diagrams, and machine learning. In layered oxides with the general composition LiMO<sub>2</sub> (M = one or more metal species) in which lithium ions are segregated into separate layers, Li/M disorder leads to the loss of reversible capacity. In contrast, in Li-rich compositions Li<sub>1+x</sub>M<sub>1-x</sub>O<sub>2</sub>, Li/M disorder can be advantageous. A common mode of degradation in both layered and disordered oxides is the release of oxygen from the surface of the electrode at high voltages or high temperatures, which coincides with the formation of surface reconstructions. I will discuss similarities/differences of ordered and disordered cathodes and point out open questions.
Proceedings Inclusion? Planned:
Keywords Computational Materials Science & Engineering, Energy Conversion and Storage, Ceramics

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Advances in Natural Language Processing for Building Datasets in Materials
Available Methods for Predicting Materials Synthesizability Using Computational and Machine Learning Approaches
Computational Design of Multicomponent Nanoparticle Morphologies
Computational Discovery of Materials with Fast Oxygen Kinetics
Computational Materials Design and Discovery for Next-generation Solid-state Batteries
Design of Novel Electrode and Solid Electrolyte Materials Guided by Crystal Structure Characterization and Understanding
Disorder and Degradation in Rock-salt-type Lithium-ion Battery Cathodes
Double Descent, Linear Regression, and Fundamental Questions in Alloy Model Building
Dynamic Stability Design of Materials for Solid-state Batteries
Establishing Links between Synthesis, Defect Landscape, and Ion Conduction in Halide-type Solid Electrolytes
First Principle Design of High Entropy Materials for Energy Storage and Conversion
From Atom to System - How to Build Better Batteries
Holistic Integration of Experimental and Computational Data and Simple Empirical Models for Diffusion Coefficients of Metallic Solid Solutions
Learning Rules for High-throughput Screening of Materials Properties and Functions
Linking Phenomenological Theories of Materials to Electronic Structure
Machine Learning Assisted Materials Generation
Machine Learning for Simulating Complex Energy Materials with Non-crystalline Structures
Matterverse.ai - A Graph Deep Learning Database of Materials Properties
Millisecond-ion Transport in Mixed Polyanion in Energy Materials
New Battery Chemistry from Conventional Layered Cathode Materials for Advanced Lithium-ion Batteries
Origin of the Invar Effect
Plasmonic High-entropy Carbides
Predicting Synthesis and Synthesizability Beyond the DFT Convex Hull
Probabilistic Approach to Materials Modeling
Structure Determination – From Materials Design to Characterization
The Stewardship of a Materials Genome
Understanding Complex Materials and Interfaces through Molecular Dynamics Simulations
Understanding Key Properties of Disordered Rock-salt Li-ion Cathode Materials Based on Ab Initio Calculations and Experiments
William Hume-Rothery Award Lecture: Ab initio Thermodynamics and Kinetics from Alloys to Complex Oxides

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