A team of researchers from the Air Force Research Laboratory, Argonne National Laboratory, Lawrence Livermore National Laboratory, Carnegie Mellon University, Petra III (Germany), PulseRay, and Cornell University have developed a revolutionary experimental capability using high energy synchrotron x-ray techniques to non-destructively measure the internal structure and micro-mechanical state of deforming polycrystalline solids.
Department of Defense (DOD)
The ability to digitally design materials with microstructures optimized to achieve desired properties, is one of the long term goals of the materials field. Simulation-based materials design has the potential to dramatically reduce the need for expensive down-stream characterization and testing. However, this requires reliable algorithms and methodologies that incorporate variability and uncertainty in the design process, and are validated against physics-based models and experiments.
Integrated Computational Materials Science and Engineering (ICMSE)
The AFLOW (Automatic-FLOW) is a multi-university-research-consortium aimed to develop, serve and maintain a plethora of online computational frameworks.
The primary objective of this integrated research program is to design new classes of polymeric materials with high dielectric constant and high breakdown strength, suitable for application in high voltage, high energy density capacitor technologies. We seek to achieve this objective through state-of-the-art "scale-bridging" computations, synthesis, processing, and electrical characterization, and through the creation of a relational database.
The Center for Materials in Extreme Dynamic Environments (CMEDE) is a multi-institution collaborative research center housed within the Hopkins Extreme Materials Institute at Johns Hopkins University. The Center brings together academia, industry, and the Army Research Laboratory (ARL) to address fundamental science issues in materials in extreme dynamic environments through a highly collaborative effort: the Materials in Extreme Dynamic Environments (MEDE) Collaborative Research Alliance (CRA).