Jake Peloquin is an assistant professor in the Edward P. Fitts Department of Industrial and Systems Engineering at NC State University. His research explores faster ways to design and manufacture advanced materials. In particular, he uses AI-driven optimization and multiscale analysis.<\/p>\n
He combines mechanical testing, computer modeling, and data analytics to study structural variability. For example, his work examines both hierarchical materials and those created through additive manufacturing, such as lattices and multifunctional composites. Moreover, he seeks to bridge materials science, advanced manufacturing, and data-driven design.<\/p>\n
As a result, Peloquin develops predictive frameworks that improve performance, reliability, and manufacturability. His work supports fields like aerospace, energy, and biomedical systems. In addition, he aims to create adaptable AI models. These models can learn from limited data and transfer across processes, materials, or geometries. Ultimately, his goal is to shorten deployment time.<\/p>\n","protected":false},"author":12816,"featured_media":191,"template":"","group":[35,28],"person_tag":[59,60,61],"class_list":["post-188","person","type-person","status-publish","has-post-thumbnail","hentry","group-advanced-manufacturing","group-faculty","person_tag-advanced-manufacturing","person_tag-artifical-intelligence","person_tag-materials-science"],"acf":[],"yoast_head":"\n