Computational Engineering and Energy Sciences

Computational Engineering and Energy Sciences

Our mission is to develop and implement high performance numerical algorithms to solve key problems in the areas of computational energy and engineering science. Group members are involved in the development of codes, computational physics, and numerical mathematics appropriate for science-based analysis of key energy and national security problems of national interest.


Internal configuration of prismatic lithium-ion cells at the onset of mechanically induced short circuit

The response of Li-ion cells to mechanically induced internal electrical shorts is an important safety performance metric design. We assume that the battery internal configuration at the onset of...

Modeling the evolution of lithium-ion particle contact distributions using a fabric tensor approach

Electrode microstructure and processing can strongly influence lithium-ion battery performance such as capacity retention, power, and rate. Battery electrodes are multi-phase composite structures...

Multiscale modeling and characterization for performance and safety of lithium-ion batteries

Lithium-ion batteries are highly complex electrochemical systems whose performance and safety are governed by coupled nonlinear electrochemical-electrical-thermal-mechanical processes over a range of...


CEES integrates domain science expertise, computer science, and applied mathematics to develop and deliver advanced simulation tools for accelerated research, development, and deployment of solutions to problems of national importance, with emphasis on energy security.


John A Turner

Group Leader, Distinguished R&D Staff Member