{"id":166113,"date":"2026-06-05T10:04:53","date_gmt":"2026-06-05T14:04:53","guid":{"rendered":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/?p=166113"},"modified":"2026-06-05T10:43:09","modified_gmt":"2026-06-05T14:43:09","slug":"wright-state-expands-research-and-teaching-capabilities-with-ohio-supercomputer-center","status":"publish","type":"post","link":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/2026\/06\/05\/wright-state-expands-research-and-teaching-capabilities-with-ohio-supercomputer-center\/","title":{"rendered":"Wright State expands research and teaching capabilities with Ohio Supercomputer Center"},"content":{"rendered":"
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Wright State’s partnership with the Ohio Supercomputer Center gives students access to large-scale computing power to run more complex work in an environment that mirrors real-world research computing.<\/p><\/div>\n

At Wright State University, faculty and students are using the Ohio Supercomputer Center (OSC) to support hands-on coursework and data-driven research across campus.<\/p>\n

For Mike VanHorn, Wright State\u2019s campus champion for OSC<\/a>, connecting users with these resources is a central part of his role. As senior computer systems administrator in the College of Engineering and Computer Science<\/a>, VanHorn works closely with faculty and students while also helping expand awareness of OSC across campus.<\/p>\n

\u201cAs a campus champion, it\u2019s my duty to serve as a local proponent for access and utilization of OSC resources on Wright State\u2019s campuses,\u201d VanHorn said. \u201cIn practice, that means I try to direct Wright State\u2019s faculty and students toward OSC whenever I see an opportunity for their work to be done more efficiently.\u201d<\/p>\n

In the classroom, OSC gives students access to computing resources at a scale beyond what is available locally. In computer science and engineering courses, students write and submit parallel programs, test their code and debug their work. Through this, they gain hands-on experience using tools commonly used in research and industry.<\/p>\n

While Wright State maintains its own computing resources for instruction, those systems are designed for smaller-scale use. OSC provides access to significantly larger computing power, allowing students to run more complex jobs and work with datasets that would be difficult to handle locally, all within an environment that mirrors real-world research computing.<\/p>\n

\u201cExposing our students to large-scale and leading-edge resources really gives them the perspective they need going forward,\u201d VanHorn said. \u201cIt helps them understand the kinds of problems they\u2019ll be able to solve using high-performance computing.\u201d<\/p>\n

The same resources that support classroom learning are also being used for research across campus. Faculty are using OSC for projects ranging from machine learning and natural language processing to engineering simulations and quantum-based nanomaterials modeling.<\/p>\n

In one project, psychology researchers are using machine learning techniques to analyze team communication in training environments, transforming large volumes of text into structured data that can be used to evaluate performance. In another, mechanical and materials engineering researchers are developing deep learning models to simulate complex manufacturing processes, helping reduce the computational demands of modeling multiphysics interactions.<\/p>\n

\u201cPerforming finite element method and machine learning is not even possible without accessing OSC resources due to the sheer size of the simulation domain, the number of coupled differential equations and the overall size of the required data for deep learning approaches,\u201d said Hamed Attariani, Ph.D., associate professor of mechanical and materials engineering.<\/p>\n

Across disciplines, VanHorn sees both the range of users and the variety of workloads as key strengths.<\/p>\n

\u201cThe two things that jump out at me are the varied groups from Wright State that are using OSC, and the different types of workloads,\u201d he said. \u201cThe wide range of applications that OSC can support is amazing.\u201d<\/p>\n

VanHorn is also working to build a stronger university-wide community as more faculty and students begin using OSC. He created an internal user group to connect Wright State\u2019s OSC users and is exploring ways to introduce the technology to a broader audience.<\/p>\n

One idea under development is an \u201cOSC Day,\u201d which would bring introductory presentations and hands-on workshops directly to campus.<\/p>\n

As Wright State continues to expand its research activity, VanHorn sees increasing awareness of OSC as a key step.<\/p>\n

\u201cI think a lot of students and faculty feel that there\u2019s a learning\u00a0curve with\u00a0using\u00a0high-performance computing or\u00a0are intimidated by the idea of learning a new way of doing things,\u201d\u00a0VanHorn\u00a0said. \u201cIf we can show how accessible this technology is, it should increase the university\u2019s research footprint and support continued growth in our R2 research activities.\u201d<\/p>\n

Story by the Ohio Technology Consortium and the Ohio Department of Higher Education. Read the original story<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Wright State’s partnership with the Ohio Supercomputer Center gives students access to large-scale computing power to run more complex work in an environment that mirrors real-world research computing. Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":23,"featured_media":166120,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[722,4267,743,2060,725,4269,715,2063,18,746,2061],"tags":[],"class_list":["post-166113","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-academics","category-computer-science-and-engineering","category-engineering-computer-science","category-graduate","category-home-news-sidebar","category-mechanical-and-materials-engineering","category-news","category-psychology","category-research","category-science-mathematics","category-undergraduate"],"_links":{"self":[{"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/posts\/166113","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/users\/23"}],"replies":[{"embeddable":true,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/comments?post=166113"}],"version-history":[{"count":7,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/posts\/166113\/revisions"}],"predecessor-version":[{"id":166133,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/posts\/166113\/revisions\/166133"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/media\/166120"}],"wp:attachment":[{"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/media?parent=166113"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/categories?post=166113"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webapp2.wright.edu\/web1\/newsroom\/wp-json\/wp\/v2\/tags?post=166113"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}