The Department of Materials Science and Engineering has a
need-based fellowship opportunity for all qualified graduate
students pursuing their Ph.D. Computational Materials
Science and Engineering (CMSE) GAANN sponsored by the
Department of Education provides need-based fellowships to Ph.D.
students at Drexel University who will receive exceptional training
in research and education in the field of computational materials
science and engineering in the critical areas of novel materials
and nanotechnology; defense applications; manufacturing, design,
and optimization; digital signal processing in materials
characterization; and bioengineering and bioinformatics.
Novel Materials and Nanotechnology
The major objectives of nanotechnology are the design, modeling,
and fabrication of materials, machines, and devices at the
molecular level. Modeling is an economical and effective way to
explore the feasibility of molecular machines and devices, by
rapidly evaluating and eliminating dead ends and selecting the most
promising designs. Molecular CAD software, molecular modeling
software, and related tools, are at the core of the development of
novel materials and nanotechnology; major advances in this field
require extensively trained scientists and engineers. Faculty
members at Drexel University are involved in intense research
efforts focusing on modeling molecular recognition in host/guest
systems, atomic scale investigations of complex catalytic
materials, molecular dynamics modeling of carbon nanotube or
polyhedral oligomeric silsesquioxane reinforced polymers and thin
films of complex organic compounds for enhanced capacity data
storage devices.
Computational Biology and Bioinformatics
The integration of engineering into the health sciences promises
a revolution in new technologies that will help save lives.
Drexel's combined expertise in computational biology is currently
tackling critical areas such as cancer cell propagation,
3-dimensional breast tumor modeling, and large-scale computations
on histology.
Computational Materials for Critical Defense Applications
Drexel University is in an excellent position to implement
efforts in this area as the home to the Materials Center of
Excellence of the Army Research Laboratory (ARL) on protective
polymer based systems. Its objective is to advance the field of
polymer technology on vehicle durability and lethality. One of the
three thrusts of the center is the use of multiscale modeling and
simulation to research fundamental aspects of the physical and
mechanical response of polymers with applications in the
development of lightweight vehicles.
Computer Aided Modeling of Materials in Manufacturing
The Department of Materials Science and Engineering and
collaborating faculty members maintain a high level of funded
research in this area including: (a) extensive collaboration with
Merck, Inc. & Co., pursuing the development of a science basis
for the processing of pharmaceuticals, with emphasis on computer
modeling and optimization of pharmaceutical formulations and
multilayer/multi drug systems, (b) continuous collaboration (since
1997) with 3M in the area of polymer/solvent coatings systems
addressing computationally combined flow and diffusion problems in
multilayer coatings, (c) intensive research on plasma-assisted
high-rate deposition and micro fabrication in novel plasma
reactors, particularly in the development of novel computational
high-resolution "discharge physics models," and (d) close
collaboration with the nation's largest car manufacturer, General
Motors, in simulations of metal processing in an effort to provide
the low weight, low cost alloys desperately required to make our
car industry competitive.
Design and Optimization of Multifunctional Materials
Recent interdisciplinary research in the Department of Materials
Science and Engineering at Drexel University has led to the
development of a new computational framework, called
Microstructure-Sensitive Design (MSD), for the design of optimized
material microstructure in multi-functional applications. This
highly efficient methodology is already being used in situations
ranging from low cost Titanium for ballistic defense to improved
friction stir welds.
Digital Signal Processing in Advanced Materials
Characterization
There is no doubt that many of the recent successes in materials
science and engineering are owed to the advanced computational
signal processing algorithms implemented in spectroscopy
techniques, high resolution microtomography, and orientation
imaging microscopy. Further advances in this exciting area of
technology require multidisciplinary trained scientists and
engineers that have insight into the physics of the material
properties sought and an understanding of the potential of the most
advanced digital signal processing algorithms. Current lines of
research pursued at Drexel include detection and characterization
of molecules related to cancer development using Raman spectroscopy
and non-linear models of 3D reconstruction of x-ray absorption maps
from transmission of polychromatic x-ray beams.
International/Industrial Experience
Providing real world experience and global exposure to the GAANN
Fellows is an integral component of the CMSE program that addresses
the need to train outstanding future academics and scientists. All
Fellows will participate in either an international research
collaboration or an industrial internship, arranged through one of
our international collaborators or industry contacts.