The Scientific Computing group at NICS is composed of computational scientists from various disciplines, many with Ph.D.’s, who are dedicated to ensuring that the scientific community is able to make the most of available computational resources.  To fulfill this goal, the group participates in a variety of training activities, one-on-one projects with researchers, the development of scientific applications and workflows, and the exploration of future technologies. Additionally, many group members are active in academic research and within their respective scientific communities.

Engagement with the Scientific Computing group can be direct or via any of the programs we support. Please see the resources below for more information on how to engage via some of our programs.

• NSF CyberTraining Program:  Linear Algebra Preparation for Emergent Neural Network Architectures (LAPENNA) – https://nics.utk.edu/linear-algebra-preparation-for-emergent-neural-network-architectures-lapenna/
• Summer Research Experiences for Undergraduates (REU):  Research Experiences in Computational Science, Engineering, and Mathematics (RECSEM) – https://nics.utk.edu/recsem-reu/

For additional information or to discuss potential opportunities for collaboration and partnership, please contact Lonnie D. Crosby, Ph.D. Group Leader, Scientific Computing.