Mass Spectrometry and Surface Characterization (MSSC) Core
- The Mass Spectrometry and Surface Characterization (MSSC) Core is a critical component of the COBRE research infrastructure supporting the needs of the majority of COBRE researchers and the broader constituency at the UD. The Core is comprised of the mass spectrometry and surface analysis components housing instrumentation for structural characterization of biomaterials.
Microscopy and Mechanical Testing (MMT) Core
- The Microscopy and Mechanical Testing (MMT) Core is designed to support the University of Delaware’s concerted multi-disciplinary effort in designing advanced biomaterials from the molecular level, a promising thrust in the creation of materials systems that are optimized for their intended tissue engineering and drug delivery applications. The Microscopy and Mechanical Testing (MMT) Core is equipped with state-of-the-art imaging techniques, scattering tools and mechanical testing capabilities.
Nuclear Magnetic Resonance (NMR) Core
- The Nuclear Magnetic Resonance (NMR) Core with the existing state-of-the-art instrumentation and techniques represents a critical part of COBRE and addresses the following needs of COBRE research programs across the campus of the University of Delaware (1) facilitating the research and development of NMR spectroscopy as a premier method for structural analysis of a wide variety of systems in solution and solid states, and (2) providing support for structural analyses of small-molecule and macromolecule-based biomaterials in solution and solid states.
Computational Modeling Core
- The Computational Modeling Core supports and provides infrastructure for application and development of computational methods that aid in understanding of properties of advanced biomaterials that are designed and synthesized under the auspices of our COBRE Center. Our COBRE computational resources consist of the COBRE cluster that integrates with the NSF MRI supported GPU cluster. The clusters are equipped with state-of-the-art software needed for computational modeling of biomaterials at all levels.