Jake Peloquin
Assistant Professor
- Email: jepeloqu@ncsu.edu
- Office: Fitts-Woolard Hall 4323
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.
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.
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.
Research Interests
- Advanced manufacturing
- Artificial intelligence (AI)
- Materials science
- Structural mechanics
- Multiscale mechanics
Education
| Degree | Program | School | Year |
|---|---|---|---|
| Ph.D. | Mechanical Engineering and Materials Science | Duke University | 2025 |
| M.S. | Mechanical Engineering and Materials Science | Duke University | 2025 |
| B.S. | Mechanical Engineering | Georgia Institute of Technology | 2021 |
Awards and Honors
- 2025 | Departmental Service Award, Duke University
- 2024 | Invented @ Duke Winner
- National Science Foundation Graduate Research Fellowship
- NSF aiM-NRT Fellow
- Duke Innovation and Entrepreneurship Startup Showcase Finalist
Publications
- Predicting compressive stress-strain behavior of elasto-plastic porous media via morphology-informed neural networks
- Lindqwister, W., Peloquin, J., Dalton, L. E., Gall, K., & Veveakis, M. (2025, April 18), Communications Engineering. https://doi.org/10.1038/s44172-025-00410-9
- Structure-performance relationships of multi-material jetting polymeric composites designed at the voxel scale: Distribution and composition effects
- Daneshdoost, N., Peloquin, J., & Gall, K. (2024, October 18), Journal of Manufacturing Processes. https://doi.org/10.1016/j.jmapro.2024.10.009
- Prediction of tensile performance for 3D printed photopolymer gyroid lattices using structural porosity, base material properties, and machine learning
- Peloquin, J., Kirillova, A., Rudin, C., Brinson, L. C., & Gall, K. (2023, June 27), Materials & Design. https://doi.org/10.1016/j.matdes.2023.112126
- Printability and mechanical behavior as a function of base material, structure, and a wide range of porosities for polymer lattice structures fabricated by vat-based 3D printing
- Peloquin, J., Han, Y., & Gall, K. (2023, September 1), Additive Manufacturing. https://doi.org/10.1016/j.addma.2023.103892
- Tensile performance data of 3D printed photopolymer gyroid lattices
- Peloquin, J., Kirillova, A., Mathey, E., Rudin, C., Brinson, L. C., & Gall, K. (2023, July 9), Data in Brief. https://doi.org/10.1016/j.dib.2023.109396
