computational modeling
Image from Gyeong Hwang's and Arumugam Manthiram's Controlling Polysulfide Diffusion in Li-S Batteries research project.

Intuitive materials design at UT is based on fundamental chemistry and physics concepts with an intimate coupling of experiments and theory. A robust back-and-forth dialogue between experimentalists and theorists allows for predictive capability and an in-depth model-based understanding of new phenomena that is then confirmed experimentally.

Computational Models at Different Length Scales

Specific Applications of Methods

Faculty in This Area

Venkat Ganesan
Graeme Henkelman
Gyeong Hwang
Yuanyue Liu
Donald Siegel

Recent Research Projects

Relationship between Ionic Conductivity, Glass Transition Temperature, and Dielectric Constant in Poly(vinyl ether) Lithium Electrolytes
Nathaniel Lynd and Venkat Ganesan
ACS Macro Letters

Disrupting Sodium Ordering and Phase Transitions in a Layered Oxide Cathode
Graeme Henkelman and Hadi Khani
Journal of The Electrochemical Society

Influence of Polarizability on the Structure, Dynamic Characteristics, and Ion-Transport Mechanisms
Venkat Ganesan
Journal of Physical Chemistry B

Implications of in situ Chalcogen Substitutions in Polysulfides for Rechargeable Batteries
Yuanyue Liu and Arumugam Manthiram
Energy & Environmental Science

Low-temperature Activation of Solid-State Lithium-ion Transport for Polymer Electrolytes
Gyeong Hwang
Journal of Power Sources

Ion Migration Mechanisms in a Sodium Sulfide Solid Electrolyte
Donald Siegel
Chemistry of Materials

Exploring the Synthesis of Alkali Metal Anti-perovskites
Donald Siegel
Chemistry of Materials

Molybdenum Carbide Electrocatalyst for Rapid Kinetics in Sodium Metal – Sulfur Batteries
Graeme Henkelman and David Mitlin
Advanced Materials