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Division of Information Technology

Research Computing

About Research Computing

Research computing encompasses computing technology, data storage systems, advanced instruments, visualization environments, data analysis and management systems, and human resources, linked by high speed networks to make scientific and engineering innovation and discoveries possible.

Research Computing is not limited to the sciences and engineering, but can serve the arts, humanities and social sciences as well. It describes computing environments that support advanced data acquisition, storage, management, integration, mining, visualization and other computing and information processing services distributed over the Internet beyond the scope of a single institution. While processors, storage devices, sensors, and other physical assets are part of research computing, it is more than connecting people with advanced networks and sophisticated applications running on powerful computer systems—it involves those people as participants in the knowledge generation, thereby giving them the opportunity to share expertise, tools and facilities.


Additional Resources


To enable simulations of complex systems that accurately reflect experimental observations, continued advances in modeling potential energy surfaces and statistical mechanical sampling are necessary. While studying systems relevant for catalysis, we develop new theoretical and computational tools for the investigation of these complex chemical systems. Our tool development efforts are at the interface between engineering, chemistry, and physics, and are rooted in classical, statistical, and quantum mechanics with a special focus on novel multiscale methods.

Andreas Heyden, Department of Chemical Engineering

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