Collaborative Research & Model Development

Leading researchers throughout the nation have worked with PSC scientists and have used PSC systems to advance the state of knowledge in their disciplines. Our staff includes PhD-level researchers in the following areas: biomedical applications, chemistry, physics, structural analysis, visualization, parallel applications and network engineering.

The center has strong relationships with all major research institutions. Because of these relationships PSC can pull together talent from across the nation to address challenges that require multidisciplinary collaboration. PSC can work collaboratively with your organization in the research, development and/or application of new technology.

Current collaborative R&D projects cover a wide range of areas, including biomedical applications, algorithm and tool development, tool evaluation and market analysis. Here are some examples:

  • PSC has worked with pathologists from the University of Pittsburgh Medical Center (UPMC) to develop automated techniques that improve the speed and accuracy of tissue diagnosis. This project has included collaboration with a research team at the National Cancer Institute (NCI). Plans included developing 3D visualization of prostate tissue samples and using DNA and RNA sequencing to correlate tissue characteristics with genetic tendencies.

  • For over ten years, PSC has worked with researchers in San Diego, San Francisco, and North Carolina to develop two software systems (known as AMBER and CHARMM) for simulating structure and movement of proteins and DNA molecules. Research with these systems has led to new insights into protein structure and how it relates to a protein's biological function.

  • To facilitate scientific collaboration in the biomedical area, PSC is working with researchers from The Scripps Research Institute and others to study new technologies that can improve the ability of biomedical scientists at separate locations to collaborate effectively. PSC will implement collaborative tools - shared whiteboard, desktop videoteleconferencing, shared software revision control, and others - and evaluate their effectiveness in biomedical research, including the PSC-UPMC-NCI collaboration and the PSC-AMBER-CHARMM developments mentioned above.

  • Researchers at the National Energy Technology Laboratory continue working with PSC scientists to discover ways to make the turbines which generate our electricity more efficient, cleaner, and cheaper to operate. NETL is a national laboratory of the DOE.

  • Alcoa has partnerd with PSC since 1987, and used PSC resources to design parts for the Plymouth Prowler and the Audi A8 from aluminum. Replacing steel with aluminum makes the cars lighter and more resistant to rust, with no loss in strength or safety.

  • PSC is currently working with a client to apply both datamining and GIS tools to analyze demographic data and other information to understand customer preferences. The power and capability of these tools for data exploration and display are being integrated as an example of the type of collaborative work PSC would like to pursue with its partners.

  • A team of scientists from PSC, Oak Ridge National Lab, the National Energy Research Scientific Computing Center, and the University of Bristol (UK) won the Gordon Bell Prize, given for best achievement in high-performance computing, for developing software for simulating magnetism. The LSMS method is a key for understanding magnetism at the theoretical level and has application in many areas, including read-head technology for disk storage media, and bulk magnets used in power generation and the sensors in cars.
Last Updated on Tuesday, 09 October 2012 09:28  

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