Research

Ohio Supercomputer Center Calls for Proposals for Statewide Computational Science Courses

Columbus, Ohio -- August 3, 1999 -- The Ohio Supercomputer Center (OSC) is looking for Ohio faculty interested in using distance learning technologies to bring computational science courses to campuses across the state.

OSC, a statewide resource for high performance technology, recently received funding from the Ohio Board of Regents to assist the state in developing computational science expertise at its public universities. OSC will fund computational science courses from various institutions that can be taught on multiple campuses.

Ohio researcher tracks movement of H1N1 influenza virus with the aid of supercomputer, mapping software

OSU project adapts Supramap program from earlier study of avian influenza 

Columbus, Ohio – May 7, 2009 - An Ohio State University Medical Center biomedical informatics researcher is tapping the power of the Ohio Supercomputer Center to monitor the spread of the H1N1 influenza virus.

XSEDE project brings advanced cyberinfrastructure, digital services, and expertise to nation's scientists and engineers

XSEDE Logo

Columbus, Ohio (July 25, 2011) - A partnership of 17 institutions today announced the Extreme Science and Engineering Discovery Environment (XSEDE). XSEDE will be the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world.

Register now for SC07/Ohio Supercomputer Center workshop on integrating computational science into curricula

COLUMBUS, Ohio — April 9, 2007 — Both businesses and researchers increasingly are using computational science to enhance their return on investments and discovery methods. Faculty wishing to incorporate this discipline into their coursework are invited to attend the workshop, “Integrating Computational Science into the Undergraduate Curriculum,” June 17 to 23, 2007, at the Ohio Supercomputer Center, Columbus, Ohio.

Path Finding: Behavior of Artificial Neural Network

Abstract

To travel from one location to another is a common task for most human beings. Actually creating a robot to find a path to the destination while avoiding obstacles is another task. The behavior of an artificial neural network is synthesized mimicking the decisions leading to a path. a two-layer network using a simplified model of a biological network (i.e. brain is used).

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