Publications
- Lei Li, Md Reza-E-Rabby, Nicole Overman, Tianhao Wang, Scott Whalen, Glenn Grant, Suveen Mathaudhu, Ayoub Soulami, “Analysis of contact conditions and microstructure evolution in shear assisted processing and extrusion using smoothed particle hydrodynamics method,” Materials & Design, Volume 221, 2022.
- Li, L., Gupta, V., Li, X., Reynolds, T., Grant, G., Soulami, A. “Meshfree Simulation and Experimental Validation of Extreme Thermomechanical Conditions in Friction Stir Extrusion.” Comp. Part. Mech. 9, 789–809 (2022).
- Kulkarni SS, T Truster, H Das, V Gupta, A Soulami, P Upadhyay, and D Herling. 2021. “Microstructure-Based Modeling of Friction Stir Welded Joint of Dissimilar Metals Using Crystal Plasticity.” J. Manuf. Sci. Eng. 143(12): 121008.
- Li Y, S Hu, E Barker, N Overman, S Whalen, and S Mathaudhu. 2020. “Effect of Grain Structure and Strain Rate on Dynamic Recrystallization and Deformation Behavior: A phase field-crystal plasticity model.” Computational Materials Science 180.
- Kvinge H, C Wight, S Akers, S Howland, W Chopi, X Ma, L Gosink, E Jurrus, K Kappantanula, and TH Emerson. 2021. “Dataset to Dataspace: A Topological-Framework to Improve Analysis of Machine Learning Model Performance." In ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning, July 23, 2021.
- Choi W., E. King, C.L. Wight, Z. Chen, H.J. Kvinge, E.I. Barker, and J.A. Bilbrey, et al. "Data-driven modeling and control for temperature-controlled Shear Assisted Processing and Extrusion (ShAPE) using Koopman operators." Abstract submitted to The Materials Science & Technology technical meeting and exhibition series, Pittsburgh, Pennsylvania, October 9, 2022.
- King E., C.L. Wight, W. Choi, Z. Chen, K.S. Kappagantula, S. Hu, and Y. Li, et al. "Comparison of Data Driven and Physics-Informed Machine Learning Models for Temperature Prediction of Shear Assisted Processing and Extrusion." Abstract submitted to Materials Science and Technology, Pittsburgh, Pennsylvania, October 9, 2022.
- Oster M.R., E. King, C. Bakker, A. Bhattacharya, S. Chatterjee, and F. Pan. 2021. "Multi-Level Optimization with the Koopman Operator for Data-Driven, Domain-Aware, and Dynamic System Security." Reliability Engineering & System Safety.
- Truong L, W Choi, C Wight, L Coda, T Emerson, K Kappagantula, and H Kvinge. 2021. "Differential Property Prediction: A Machine Learning Approach to Experimental Design in Advanced Manufacturing." In AI for Design and Manufacturing.
- Akers S, E Kautz, A Trevino-Gavito, M Olszta, BE Matthews, L Wang, Y Du, SR Spurgeon. 2021. “Rapid and Flexible Segmentation of Electron Microscopy Data Using Few-shot Machine Learning.” npj Computational Materials 7:187.
- Olszta M, D Hopkins, KR Fiedler, M Oostrom, S Akers, and SR Spurgeon. 2021. “An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics.” Condensed Matter Materials Science.