University of Texas at Austin
Moncrief Grand Challenge Faculty Awards

Call for Proposals: February 1 (Annually)

Proposal Deadline: March 1 (Annually)

Selections will be announced the week following spring break.

For questions regarding this program, please contact Maria Stanzione.

Moncrief Grand Challenge Faculty Awards

The W. A. “Tex” Moncrief Grand Challenge Awards provide resources to give faculty time to focus on Oden Institute research and academic programs related to the grand challenges in computational engineering and sciences.

Each year, several awards are given to faculty based on their highly compelling research proposals that seek to enhance the competitiveness and international standing of the nation. The awards provide a stipend of up to $75,000 per award to cover salary and other expenses. Acceptance of an award requires the approval of the individual’s home department chair, the relevant dean, and the Oden Institute Director.

The scope of research appropriate for submission under this program is very broad. It includes application-driven grand challenge problems across engineering, the sciences, and medicine, as well as mathematical, statistical and computational foundations that advance the solution of grand challenge problems.

The number of awards made each year will vary depending on the proceeds of the endowment.

Recipients are expected to prepare a final report summarizing their accomplishments. In addition, opportunities will be available to present research accomplishments in the Oden Institute Seminar Series.

FY 2021 Awardees

Modeling of cold atmospheric-pressure plasma discharge for the synthesis of ammonia as a carbon-free liquid fuel

Faculty: Laxminarayan Raja

Computational Modeling of the Deformation and Failure of Soft Materials

Faculty: Chad M. Landis

Decarbonatization While Increasing Oil Production Using CO2

Faculty: Mary F. Wheeler

FY 2020 Awardees

Neural Network Models of Myocardium Hyperelastic Material Models

Faculty: Michael S. Sacks

A Machine-Learning Based Training Tool for Tricuspid Valve Repair: A Prototype

Faculty: Manuel K. Rausch

Uncovering the Secrets of the Glymphatic System and Implications for Neurodegenerative Disease: A Computational Medicine Approach

Faculty: Thomas J.R. Hughes

FY 2019 Awardees

Predicting Electromagnetic Vulnerabilities of Embedded Cryptography

Faculty: Ali Yilmaz

Advanced Deep Learning Strategies for Forward and Inverse Problems

Faculty: Tan Bui-Thanh

A Scalable MPI hp-Adaptive Finite Element Software Library for Complex Multiphysics Applications

Faculty: Leszek F. Demkowicz

Robust Space Situational Awareness via Hard/Soft Information Fusion in the Presence of Uncertainty

Faculty: Moriba Jah

FY 2018 Awardees

Modeling and Simulation of Three-Dimensional Crack Growth

Faculty: Gregory J. Rodin

DSMC Model Development for Earth’s Upper Atmosphere

Faculty: David Goldstein

A GFEM Framework for Reservoir Simulation of Unconventionals

Faculty: John Foster

FY 2017 Awardees

Addressing Dirac's Challenge: Practical Quantum Mechanics for the Discovery and Design of Advanced Materials

Faculty: James Chelikowsky

From Complex Potential Energy Surfaces to Material Function and Design

Faculty: Graeme Henkelman

Propagating Instabilities in Structures and Materials

Faculty: None

Deformation of Reactive Surfaces in Shear Generated Turbulence

Faculty: Fabrizio Bisetti