Computing Facilities and Remote Computing
All students and faculty in the Department have access to extensive computing and information resources located in the chemical and biomolecular engineering and materials science complex on Ohio State’s campus.
More than 100 computers with the latest technology are available to support innovative teaching and cutting-edge research. A large array of software enables 3D imaging of atomic structures, diffraction analysis, mathematical modeling, casting simulations, stress analysis, and a variety of other engineering capabilities. Gigabit Ethernet switches provide quick access to a wide variety of resources, including internet-based materials databases as well as e-books, journals and search engines offered by The Ohio State University and Ohio-link Information Network. DVD recording, color laser printing, large format plotting, digital video recording and editing, and high-resolution scanning provide students and faculty with the tools needed to prepare professional presentations and manuscripts.
In 2011, three of the computing rooms in the facility were renovated to support classroom instruction in computational material science. The novel design includes TouchSmart computers, custom tables, wall-mounted flat panel displays and digital white boards to help convey technical information. Clustered seating and interactive switching enable student teams to display their information to other team members or the entire class. Both on-campus and distance students benefit from on-the-fly recording of lectures that can be streamed live or archived for reference.
Students enrolled in Chemical and Biomolecular Engineering and Materials Science programs at Ohio State pay a computer fee to use the ECR6 facility, one of several computer laboratories available to students in the College of Engineering.
Staff and faculty have access to the 512-CPU (2.4 GHz Intel Xeon) Beowulf cluster at the Ohio Supercomputer Center located on Ohio State’s West Campus. The Center holds frequent training sessions on parallel programming and performance optimization, and also offers Cray supercomputers for demanding computational projects.