rest of the
Department of
Materials Science and Engineering to Engineering Building I on the NC
State Centennial Campus. This building, which was completed just prior
to the move, now houses both Materials Science and Chemical
Engineering. Our research group occupies two rooms on the third
floor; these rooms includes student and postdoc desks as well as
a Beowulf computing cluster. An image of the new building just
before completion is shown to the right.
June 1, 2004
Computational Team Joins Two New MURI Efforts.
We have joined two new MURI teams. The first is based at NC State and
is part of a large experimental-modeling effort that is developing the
scientific basis for tribological properties in terms of
scale-dependent thermal, chemical, and mechanical processes that is
critical for the engineering of advanced materials and coatings with
tailor-made properties for aerospace applications. The modeling team is
composed of Prof. Brenner,
Prof. Mohammed Zikry of the Mechanical Engineering Department and
Prof. Judith Harrison of the U.S. Naval Academy. The modeling effort
uses a hierarchy of continuum and atomic modeling to explore
fundamental friction and wear phenomena, and to explore new materials
with unique properties.
The second MURI team is lead by Prof. Steve Danyluk of Georgia Tech. The goal of this effort is to solve the problem of rail wear in railgun technologies. We are using a combination of atomic and continuum-level modeling techniques to charactize wear mechanisms at sliding metallic interfaces, in particular the interplay of frictional heating, heat conduction, plasma formation and electromagnetic migration, to explore coatings that can potentially inhibit wear.
With the two new MURI efforts, we are currently members of four MURI teams, one that is attempting to solve problems associated with the production of large, low defect density AlN and GaN wafers, and a second team that is developing new modeling tools for studying energetic materials.
June 1, 2004
New NSF Sponsored NIRT Team Established
A new Nanoscale Interdisciplinary Research Team lead by Professor Keith
Gubbins of the NC State Chemical Engineering Department has been funded
by the National Science Foundation. The new effort entitled "Surfactant
Self-Assembly on Nano-Structured Surfaces: Multi-Scale Computational
Prediction", involves Prof. Jerzy Bernholc of the NC State Physics
Department and Prof. Sharon Glotzer of the University of Michigan.
This new NIRT effort complements the NIRT effort "Reduced Degree of Freedom Predictive Methods for Control and Design of Interfaces in Nanofeatured Systems: Nanocrystalline Materials, Sensors and Composites" that was started last year.
May 28, 2004
Two St. Augustine's Students Start Summer Research Two
undergraduate
students from St. Augustine's College, Marlin Ellis and Olusola
Afolabi,
will be spending 8 weeks working with the Computational Materials
Science team. Their research, which is sponsored by the National
Science Foundation, is part of our recruiting efforts to attract
talented undergraduate students into our graduate program.
May 21, 2004
New Graduate Course on Modeling to be Offered A new course
entitled
"Modeling from the Nanoscale to the Macroscale" will be offered in the
Fall
2004 semester. This is a graduate course that is being co-offered by
the Materials Science and Engineering, Mechanical and Aerospace
Engineering
and Physics Departments. Modern problems in materials modeling
increasingly involve combinations of electronic, optical and mechanical
properties, and often require a hierarchy of theory and modeling
methods that span multiple time and length scales. Unfortunately,
traditional curricula in the physical sciences and in engineering
remain too constrictive to provide students with a sufficiently broad
backgound in modeling methods to attack these problems. This course
will provide a broad survey of modern theory and modeling methods for
predicting and understanding the properties of materials. These methods
will include quantum methods (e.g. density functional theory),
molecular modeling (e.g. molecular dynamics and Monte Carlo methods),
solid defect theory, and continuum modeling approaches. The course will
use a combination of web-based lectures and hands on exercises with
state-of-the-art modeling programs.
The course will be offered as a video course with lectures and exercises available over the internet. The course listing depends on the department through which students register. Please check departmental course listings for appropriate course number.