Materials modeling and simulation.
Some of the most important goals of chemical engineering research and
practice are to design, analyze, and improve the protocols used to manufacture
new material goods and products. Our ability to succeed in these tasks relies
on having a firm understanding of how the properties of molecules impact the
performance of the materials they form.
Theoretical and computational tools have played an important role in
this regard, providing some of the deepest and most important conceptual
insights into molecular-level processes and leading to powerful new predictive
capabilities. Although molecular simulation methods have been emerging in
chemical engineering research for the past 25 years, they are now expected to
be an essential tool for the chemical engineer of the future, given the
broadening of our discipline’s scope to include the molecular-level design and
synthesis of high-value-added materials, the creation of high-precision
technological applications, and the formulation of new pharmaceutical products
for biomedical applications.
The Department of Chemical
Engineering at The University of Texas at Austin
has one of the largest and most productive research efforts in the area of
materials modeling and simulation in the country. Our faculty and their
graduate students are engaged in developing and applying a wide range of theoretical
and computational methods, including first-principles quantum mechanical
calculations, particle-based and field-theoretic approaches to statistical
mechanics, molecular and Brownian dynamics, multi-dimensional optimization
routines, and continuum-level theory and simulation of transport processes. In some cases, even hierarchical or multi-scale
techniques are used to integrate these various approaches to solve problems
that inherently involve multiple length and/or time scales. The
interdisciplinary spirit at UT-Austin has catalyzed a number of fruitful collaborations
between first-rate experimental and modeling groups in chemical engineering, chemistry,
materials science, computer science, and physics. These collaborations have
become an essential part of research in our program. They have allowed our
faculty members and graduate students to explore some of the most exciting
problems in the biological, physical, and engineering sciences, including
protein aggregation and phase separation in solution, dynamics of
self-assembled and complex materials, reaction and molecular transport in
semiconductor processing, electronic dynamics and solvation,
and the solubility of polymers and biomolecules in
water.
Faculty
Roger T. Bonnecaze
Venkat Ganesan
Gyeong S. Hwang
S. Joe Qin
Peter J. Rossky
Isaac C. Sanchez
Thomas M. Truskett
Grant Willson