WeiLuportrait

Wei Lu

By | | No Comments
Wei Lu is Professor in the Department of Mechanical Engineering. His research interests lie in the modeling and simulation of the evolution of nano and microstructures. His research group studies the mechanics involved in nano and micro systems, as well as the mechanical properties and performance of advanced materials. These include the joining of dissimilar materials, the fretting wear of structures, and electrochemical mechanical processes in battery systems. They use multi-scale analysis, and machine learning techniques combined with experimental methods to design and optimize new materials.
WeiLu
trachette-jackson-portrait

Trachette Jackson

By | | No Comments

Trachette L. Jackson is Full Professor in the Mathematics Department, who specializes in Computational Cancer Research or Mathematical Oncology.   A focus of Dr. Jackson’s research has been achieving a unified understanding of how signaling molecules, cells, and micro-environmental structures coordinate to control blood vessel generation, morphology and functionality during tumor growth.  Her work aims to biochemically and biomechanically characterize the collective motion vascular endothelial cells, one of most important cell types involved in cancer development due to their role in angiogenesis.

With an eye toward addressing critical challenges associated with targeted molecular therapeutics, for example determining which drugs are the best candidates for clinical trials, Dr. Jackson also develops multiscale mathematical models that are designed to optimize the use of targeted drug treatment strategies.  These mathematical models connect the molecular events associated with tumor growth and angiogenesis with the temporal changes in tumor cell and endothelial cell proliferation, migration and survival, and link these dynamics to tumor growth, vascular composition, and therapeutic outcome.

trachettejackson

fanyue

Yue Fan

By | | No Comments

Yue Fan is an Assistant Professor in the Department of Mechanical Engineering. The primary research interest in his group is to provide a substantive knowledge on the mechanics and micro-structural evolution in complex materials systems under extreme environments via predictive modeling. In particular, they focus on describing highly disordered systems (such as glasses, grain boundaries, etc) from the perspective of potential energy landscape (PEL), and correlating materials properties with their underlying PEL structures. The ultimate goal is to facilitate the development of new science-based high performance materials with novel functions and unprecedented strength, durability, and resistance to traditional degradation and failure.

Filipov,Evgueni

Evgueni Filipov

By | | No Comments

Evgueni Filipov is an Assistant Professor in the Department of Civil and Environmental Engineering. His research interests lie in the field of deployable and reconfigurable structural systems. Folding and adaptable structures based on the principles of origami can have practical applications ranging in scale and discipline from biomedical robotics to deployable architecture.

His research is focused on developing computational tools that can simulate mechanical and multi-physical phenomena of deployable structures. The analytical models incorporate folding kinematics along with local and global phenomenological behaviors. Prof. Filipov uses finite element and  constitutive modeling to better understand how geometry affects elastic deformations and other physical properties of the deployable and adaptable structures. He is interested in optimization of such systems and large scale parametric studies to explore the design space and potential applications of the systems.

Elastic deformations of a deployable origami tubes (Filipov et al. PNAS 2015)

Elastic deformations of a deployable origami tubes (Filipov et al. PNAS 2015)

rood-ricky-profile-web

Richard Rood

By | | No Comments

Ricky Rood is a Professor of Climate and Space Sciences and Engineering. His current research and teaching focus is on climate change and its repercussions in society. His research history includes numerical modeling of trace constituents and atmospheric dynamics. He was director of NASA’s Center for Computational Science at Goddard Space Flight Center. He is currently consulting with NOAA on the Next Generation Global Prediction System.

Professor Rood is an active member of the climate science community, working on strategic approaches to the climate-change problem solving. He writes blogs for Wunderground.com and Climatepolicy.org and he is a main contributor of The Climate Workspace project, glisaclimate.org, a site that supports an online community of people working to address climate change questions and problems.

 

MingXu

Ming Xu

By | | No Comments

Ming Xu is an Associate Professor in the School for Environment and Sustainability, and in the Department of Civil and Environmental Engineering. The focus of his research is to understand the interaction between industrial systems and the biophysical environment. His goal is to provide an understanding of driving forces of environmental pressures and to help find an alternative pathway to reduce these pressures. Prof. Xu inherently interdisciplinary research combines data science, complex systems modeling and industrial ecology.

 

hbmayes

Heather Mayes

By | | No Comments

Heather Mayes is an Assistant Professor in the Department of Chemical Engineering. Her research group uses multi-scale modeling to discover protein-sugar interactions and to harness them for renewable energy and improved health. The study of carbohydrate-protein interactions is an important step to create renewable fuels and chemicals from non-food biomass, and the results can be applied to several human diseases, including cancer and autoimmune disorders. Prof. Mayes uses computational tools in her research, including quantum mechanics, molecular dynamics, and rare-event sampling methods. She collaborates with experimental groups to understand past and guide future wet-lab studies to advance renewable chemicals and fuels, as well as disease understanding.

mayes-small

Multiscale simulation to uncover mechanisms behind protein-sugar interactions, such as how the T. reesi Cel6A enzyme coordinates making and breaking four bonds for cellulose hydrolysis.

 

 

PhaniMotamarri

Phani Motamarri

By | | No Comments

Phani Motamarri is an Assistant Research Scientist in the department of Mechanical Engineering. His research interests lie in the broad scope of computational materials science with emphasis on computational nano-science leading to applications in the areas of mechanics of materials and energy. His research is strongly multidisciplinary, drawing ideas from applied mathematics, data science, quantum-mechanics, solid-mechanics, materials science and scientific computing.

The current research focus lies in developing systematically improvable real-space computational methodologies and associated mathematical techniques for conducting large-scale electronic-structure (ab-initio) calculations -via- density functional theory (DFT). Massively parallel and scalable numerical algorithms using finite-elements (DFT-FE) are developed as a part of this research effort, which enabled large-scale DFT calculations on tens of thousands of atoms for the first time using finite-element basis. These computational methods will aid fundamental studies on defects in materials, molecular and nanoscale systems which otherwise would have been difficult to study with the existing state of the art computational methods. Current areas of application include — (a) first-principles modelling of energetics of point defects and dislocations in Al, Mg and its alloys which are popular in light-weighting applications to provide useful inputs to meso-scale and continuum models, (b) providing all-electron DFT input to advanced electronic structure approaches like the GW method for accurate prediction of electronic properties in semiconductor-materials.

Electron-density contours of 3430 atom aluminum nanocluster using pseudopotential DFT-FE

Electron-density contours of 3430 atom aluminum nanocluster using pseudopotential DFT-FE

Electron density contours of 3920 electron silicon nanocluster using all-electron DFT-FE

Electron density contours of 3920 electron silicon nanocluster using all-electron DFT-FE

Computational time (CPU-Hrs) per SCF iteration for the reduced-scaling subspace projection method and conventional diagonalization approach(ChFSI-FE). Case study: Alkane chains upto 7000 atoms.

Computational time (CPU-Hrs) per SCF iteration for the reduced-scaling subspace projection method and conventional diagonalization approach(ChFSI-FE). Case study: Alkane chains upto 7000 atoms.

avioli

Angela Violi

By | | No Comments

Angela Violi is a Professor in the Department of Mechanical Engineering, and adjunct faculty in Chemical Engineering, Biophysics, Macromolecular Science and Engineering, and Applied Physics. The research in the group of Violi is focused on the application of statistical mechanics and computational methods to chemically and physically oriented problems in nanomaterials and biology. The group investigates the formation mechanisms of nanomaterials for various applications, including energy and biomedical systems, and the dynamics of biological systems and their interactions with nanomaterials.

violinanoparticlegenesis

steiner-250

Allison Steiner

By | | No Comments

Allison Steiner is an Associate Professor of Climate and Space Sciences and Engineering. Her research focus is on the relationship between the atmosphere and the terrestrial biosphere to help understand the bigger question: how will the Earth respond to climate change? Her research integrates gas and particulate matter, including anthropogenic aerosols and natural aerosols such as pollen, into high-resolution models. She and her research group then compare these results with observations to develop a comprehensive understanding of regional scale climate and atmospheric chemistry.

Study of the sensitivity of two dust parametrizations of the regional climate model RegCM4 between 2007-2014 over the Sahara dn the Mediterranean. Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-434, 2016

Study of the sensitivity of two dust parametrizations of the regional climate model RegCM4 between 2007-2014 over the Sahara and the Mediterranean. Tsikerdekis et al. Atmos. Chem. Phys. Discuss., doi:10.5194/acp-2016-434, 2016