For a better experience, click the Compatibility Mode icon above to turn off Compatibility Mode, which is only for viewing older websites.

Participating Groups

The following faculty currently own shares in Proteus:

James Rondinelli (Materials Science and Engineering)
The group uses a combination of first-principles electronic structure methods, symmetry analysis, informatics approaches, and crystal chemistry tools to study the fundamental properties of materials at the (sub)atomic scale. This understanding is used to design complex oxides for targeted synthesis, which exhibit correlated states and technologically important electronic, magnetic and optical functionalities.

Garritt Tucker (Materials Science and Engineering)
The Materials Modeling for Extreme Environments (MMEE) research group in the MSE department at Drexel University pursues fundamental research in nanostructured materials for enhanced mechanical and radiation tolerance in extreme environments using ab initio, atomistic, mesoscale, and multiscale modeling techniques. Our specific aim is to elucidate structural/compositional effects that drive enhanced functionality in novel materials by employing a variety of computational methods and forming synergistic efforts with experiments.

Gail Rosen (Electrical and Computer Engineering)
The EESI Lab makes computational methods to study ecology and evolution, especially studies of microbial communities.  Such environmental and health studies can comprise terabytes of data and require sophisticated machine learning and signal processing algorithms.

Kurt Sjoblom (Civil, Architectural, and Environmental Engineering)
Looking at how the microfabric of clay soils evolve during shear using molecular dynamic simulations. This work will lead to better predictions of macro material responses due to loading events, e.g., reactivation of a landslide induced by heavy rainfall.

Yared Bayleyegn (Civil, Architectural, and Environmental Engineering)

The following faculty currently have user access to Proteus' University Block:

Cameron Abrams (Chemical and Biological Engineering)

Molecular simulations in biology and materials; enhanced sampling for structure prediction and transport property estimation.

Sandhya Kortagere (Microbiology and Immunology, College of Medicine)

Bryan Wong (Chemistry)
My research group carries out quantum mechanical calculations to understand electron transfer and dynamics in nanomaterials.

Christopher Sales
Our group analyzes chemical data and molecular biology sequences collected from natural and engineered environmental systems. Advances in analytical chemistry and molecular biology techniques have enabled high-throupghput production of large amounts of data that requires significant computing power to analyze.

Karen Moxon
This project has created an extremely rare database of high frequency recordings from the mesial temporal lobe (MTL) of human epileptic patients. The current project is  an investigation of single neuron dynamics in the periods leading up to spontaneous seizure generalization to MTL.

Christopher Weinberger
Dr. Weinberger's research focuses on the development of analytical and computer models to describe the mechanical and structural properties of ceramics, metals and their alloys at the nano- micro- and macro-scales. The goal of this work is to link atomic bonding, defects and microstructure to material performance at the macroscale.

Gideon Simpson (Mathematics)
My active areas of research include partial differential equations, molecular dynamics and statistical inverse problems.  This includes solving time dependent nonlinear wave equations using finite differences, finite elements, and spectral methods.

Ioannis Savidis
Ioannis's research focus is on the improvement of high performance
integrated circuits through accurate and efficient analysis and design.
Although simulation on an entire integrated circuit containing over one
billion transistors is prohibitively expensive, computing clusters are
exploited to model and analyze larger circuit sub-blocks for functionality
and timing. Through proper analysis, improvements in circuit performance
are achieved while meeting the noise constraints and power requirements of
an integrated circuit.

Gary Friedman
Modeling of dynamic properties of magnetic nanoparticles for applications in medical imaging and detection of biomarkers.

The following faculty currently have hardware hosted in the URCF: