Zhou's research interests concern material behavior over a wide range of length scales. His research emphasizes finite element and molecular dynamics simulations as well as experimental characterization with digital diagnostics. The objective is to provide guidance for the enhancement of performance through material design and synthesis. Zhou maintains a high-performance computer cluster with 384 parallel processors and an intermediate-to-high strain rate material research facility which includes a split Hopkinson pressure bar apparatus, a tension bar apparatus, and a combined torsion-tension/torsion-compression bar apparatus.

Recent research focuses on the characterization of the dynamic shear failure resistance of structural metals and the role of microscopic damage in influencing failure processes through shear banding and fracture. Micromechanical models are developed to outline microstructural adjustments that can improve the performance of materials such as metal matrix composites, ceramic composites, composite laminates and soft composites. These models explicitly account for random microstructures as well as random crack and microcrack development. At the nanoscale, ongoing research focuses on the novel shape memory and pseudoelasticity that were recently discovered in metal (e.g., Cu, Au and Ni) nanowires. The coupling between the thermal and mechanical responses of semiconducting oxide (e.g., ZnO and GaN) nanowires is another active research direction which uses molecular dynamics simulations and continuum modeling. Dr. Zhou's group is also actively engaged in research on the equivalent continuum (EC) representation of atomistic deformation at different length scales. Related research projects are sponsored by the National Science Foundation (NSF), NASA, the Air Force Office of Scientific Research (AFOSR), the Air Force Research Lab (AFRL), the Office of Naval Research (ONR), the Army Research Office (ARO), industry, and the Center for Computational Materials Design (CCMD).

Professor Yavari joined the School of Civil and Environmental Engineering at the Georgia Institute of Technology in January 2005. He received his B.S. in Civil Engineering from Sharif University of Technology, Tehran, Iran in 1997. He continued his studies at The George Washington University where he obtained an M.S. in Mechanical Engineering in 2000. He then moved to Pasadena, CA and obtained his Ph.D. in Mechanical Engineering (Applied Mechanics option with minor in Mathematics) from the California Institute of Technology in 2005. Professor Yavari is a Fellow of the Society of Engineering Science and a member of the American Academy of Mechanics.

Professor Yavari's interests are in developing systematic theories of discrete mechanics for crystalline solids with defects. Defects play a crucial role in determining the properties of materials. The development of atomistic methods including density functional theory, bond-order potentials and embedded atom potentials has enabled a detailed study of such defects. However, much of the work is numerical and often with ad hoc boundary/far-field conditions. Specifically, a systematic method for studying these discrete yet non-local problems is lacking. Design in small scales requires solving inverse problems and this is not possible with purely numerical techniques. From a mechanics point of view, defective crystals are modeled as discrete boundary-value problems. The challenging issues are extending the existing techniques from solid state physics for non-periodic systems, new developments in the theory of vector-valued partial difference equations, existence and uniqueness of solutions of discrete boundary-value problems and their symmetries, etc. The other efforts in this direction are understanding the geometric structure of discrete mechanics and its link with similar attempts in the physics and computational mechanics literatures and investigating the rigorous continuum limits of defective crystals

Don White is a professor in the School of Civil and Environmental Engineering (CEE). He has been a member of the CEE faculty at Georgia Tech since 1997. Prior to joining Georgia Tech, White served on the faculty at the Purdue University School of Civil Engineering from 1987 to 1996. He received his doctorate in Structural Engineering from Cornell University in 1988, and is an alumnus of North Carolina State University. Prior to graduate study, White worked as a structural engineer in Raleigh, NC.

White’s research covers a broad area of design and behavior of steel and composite steel-concrete structures as well as computational mechanics, methods of nonlinear analysis and applications to design. White is a member of the AISC Technical Committees 4, Member Design, and 10, Loads, Analysis and Stability, the AISI Bridge Design Advisory Group, the AISC Specification Committee, and several AASHTO/NSBA Steel Bridge Collaboration Task Groups. He is past Chair of the SSRC Task Group 29, Second-Order Inelastic Analysis of Frames and currently serves on the Executive Committee of the SSRC.

White has served as a major contributor to the steel design and structural analysis sections of the AASHTO LRFD Bridge Design Specifications and the ANSI/AISC Specification for Structural Steel Build­ings during the past 20 years. He was a lead author on the 1997 ASCE publication Effective Length and Notional Load Approaches for Assessing Frame Stability: Implications for American Steel Design, which was a precursor of the development of the AISC Direct analysis Method of design, referred to as the DM. Furthermore, White was a major participant ad hoc task group efforts leading to the development of the DM, which is the preferred method of stability design in the AISC Specification for Design of Steel Building Structures. Subsequent to these developments, the Metal Building Manufacturers Association (MBMA) provided White the opportunity to extend a number of these developments to updated procedures for design of frames using web-tapered members, which is captured within the AISC/MBMA Design Guide 25. White received the 2005 Special Achievement Award and the 2009 T.R. Higgins lectureship award from AISC for his research on design criteria for steel and composite steel-concrete members in bridge and building construction. He received the 2006 Shortridge Hardesty Award from ASCE for his research on advanced frame stability concepts and practical design formulations. For efforts leading to the comprehensive update to the 2005 AASHTO LRFD provisions for steel I- and box-girder bridge design, and unification of AASHTO LRFD provisions for straight and curved girder bridge design, White received the 2007 Richard S. Fountain Bridge Task Force Award and, with M. Grubb and W. Wright, the 2006 Richardson Medal from the Engineers’ Society of Western Pennsylvania.

White has conducted research on a wide range of topics relating to stability analysis and design and construction engineering of steel bridge structures. This includes work on construction simulation of curved and skewed steel bridges, investigation of the behavior of thin-web girders, and stability of components and structural systems during construction and in their final constructed condition. He was one of several researchers privileged to be involved closely with curved steel bridge experimental testing at the FHWA Turner Fairbank Highway Research Center from 1997 through 2005. White was P.I. and lead author of the NCHRP Report 725, Guidelines for Analytical Methods and Construction Engineering of Curved and Skewed Steel Girder Bridges. This work contributed additional substantive advances to the state-of-the-art in the engineering of curved and skewed steel girder bridge structures. White is currently P.I. on a multi-year FHWA-sponsored effort with the goal of modernizing the AASHTO LRFD provisions pertaining to all types of noncomposite box-section members including truss members, edge girders in cable-stayed spans, arch ribs, arch ties, and tower legs.

Wang's research is in the areas of design, manufacturing, and Integrated computational materials engineering. He is interested in computer-aided design, geometric modeling and processing, computer-aided manufacturing, multiscale simulation, and uncertainty quantification.

Currently, Wang studies integrated product-materials design and manufacturing process design, where process-structure-property relationships are established with physics-based data-driven approaches for design optimization. The Multiscale Systems Engineering research group led by him develops new methodologies and computational schemes to solve the technical challenges of high dimensionality, high complexity, and uncertainty associated with product, process, and systems design at multiple length and time scales.

Computational design tools for multiscale systems with sizes ranging from nanometers to kilometers will be indispensable for engineers' daily work in the near future. The research mission of the Multiscale Systems Engineering group is to create new modeling and simulation mechanisms and tools with underlying scientific rigor that are suitable for multiscale systems engineering for better and faster product innovation. Our education mission is to train engineers of the future to gain necessary knowledge as well as analytical, computational, communication, and self-learning skills for future work in a collaborative environment as knowledge creators and integrators. 

Phanish Suryanarayana joined the School of Civil and Environmental Engineering at the Georgia Institute of Technology in August 2011. He received his B.Tech. from Indian Institute of Technology, Madras, India in 2005. He obtained his M.S. in Aeronautics from California Institute of Technology in 2006. Subsequently, he received his Ph.D. in Aeronautics from California Institute of Technology in 2011 for his thesis titled "Coarse-graining Kohn-Sham Density Functional Theory". His research interests are in the areas of multiscale modeling, ab-initio calculations, density functional theory, continuum mechanics and smart materials. Overall, he is interested in developing efficient numerical methods for solving problems arising in a variety of fields. On a personal level, Dr. Suryanarayana is a sports enthusiast. He plays badminton, cricket, waterpolo, and ultimate frisbee. He also is an avid gamer (PC) and enjoys playing bridge and other board game

Streator’s research is concerned with the interactions between contacting surfaces, with particular emphasis on the roles played by surface roughness and by intervening liquid films. Much of this research is motivated by problems of adhesion or “stiction” that is prevalent in small-scale devices such as microelectromechanical systems (MEMS) and in the head-disk interface of computer disk drives. As device form factors continue to shrink the role of surface forces, such as liquid surface tension become increasingly dominant as compared to inertial forces. In this regard Streator has been interested in developing models that consider the interplay between liquid-drive capillary stresses and elastic restoring forces. This work has led to models of contact instabilities force generation predictions for both smooth and rough interfaces.

Sholl’s research focuses on materials whose macroscopic dynamic and thermodynamic properties are strongly influenced by their atomic-scale structure. Much of this research involves applying computational techniques such as molecular dynamics, Monte Carlo simulations and quantum chemistry methods to materials of interest. Although the group's work is centered on computational methods, it involves extensive collaboration with experimental groups and industrial partners.

Research in the Sherrill group focuses on the development of ab initio electronic structure theory and its application to problems of broad chemical interest, including the influence of non-covalent interactions in drug binding, biomolecular structure, organic crystals, and organocatalytic transition states. We seek to apply the most accurate quantum models possible for a given problem, and we specialize in generating high-quality datasets for testing new methods or machine-learning purposes. We have developed highly efficient algorithms and software to perform symmetry-adapted perturbation theory (SAPT) computations of intermolecular interactions, and we have used this software to analyze the nature of non-covalent pi-interactions in terms of electrostatics, London dispersion forces, induction/polarization, and short range exchange-repulsion. 

Julian J. Rimoli is an associate professor of aerospace engineering at the Georgia Institute of Technology. Rimoli obtained his engineering diploma in aeronautics from Universidad Nacional de La Plata in 2001. He moved to the United States in 2004 and pursued graduate studies at Caltech, receiving his M.Sc. in aeronautics in 2005 and his Ph.D. in aeronautics in 2009. He then accepted a postdoctoral associate position at the Department of Aeronautics and Astronautics at MIT in Cambridge, MA, where he conducted research and supervised graduate students for more than a year and a half. In January 2011, Rimoli joined Georgia Tech as assistant professor of aerospace engineering. His research interests lie within the broad field of computational solid mechanics with particular focus on aerospace applications. Rimoli has a special interest in problems involving multiple length and time scales, and in the development of theories and computational techniques for seamlessly bridging those scales. He is a member of AIAA, ASME, and USACM and is the recipient of the NSF CAREER Award, the Donald W. Douglas Prize Fellowship, the Ernest E. Sechler Memorial Award in Aeronautics, the James Clerk Maxwell Young Writers Prize, the Loockheed Dean's Award for Excellence in Teaching, and the Goizueta Junior Faculty Professorship.

Ramprasad joined the School of Materials Science and Engineering at Georgia Tech in February 2018. Prior to joining Georgia Tech, he was the Centennial Term Professor of Materials Science and Engineering at the University of Connecticut. He joined the University of Connecticut in Fall 2004 after a 6-year stint with Motorola’s R&D laboratories at Tempe, AZ. Ramprasad received his B. Tech. in Metallurgical Engineering at the Indian Institute of Technology, Madras, India, an M.S. degree in Materials Science and Engineering at the Washington State University, and a Ph.D. degree also in Materials Science and Engineering at the University of Illinois, Urbana-Champaign.

Ramprasad’s area of expertise is in the development and utilization of computational and data-driven (machine learning) methods aimed at the design and discovery of new materials. Materials classes under study include polymers, metals and ceramics (mainly dielectrics and catalysts), and application areas include energy production and energy storage. Prof. Ramprasad’s research has been funded by the Office of Naval Research (ONR), the National Science Foundation (NSF), the Department of Energy (DOE), the Army Research Office (ARO), and Toyota Research Institute (TRI). He has lead a ONR-sponsored Multi-disciplinary University Research Initiative (MURI) in the past to accelerate the discovery of polymeric capacitor dielectrics for energy storage, and is presently leading another MURI aimed at the understanding and design of dielectrics tolerant to enormous electric fields.

Ramprasad is a Fellow of the American Physical Society, an elected member of the Connecticut Academy of Science and Engineering, and the recipient of the Alexander von Humboldt Fellowship and the Max Planck Society Fellowship for Distinguished Scientists.