Overview
Education/Academic qualification
Eng-Matls Sci, Doctorate Degree
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- 1 Similar Profiles
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A fast and robust computational modeling approach for density and shape predictions in powder metallurgy hot isostatic pressing
Sarkar, S., Mayeur, J. R., Ajjarapu, K. P. K., List, F. A., Nag, S. & Dehoff, R. R., Jul 15 2026, In: Powder Technology. 479, 122540.Research output: Contribution to journal › Article › peer-review
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A visco-plastic constitutive model for accurate densification and shape predictions in powder metallurgy hot isostatic pressing
Sarkar, S., Mayeur, J. R., Ajjarapu, K. P. K., List, F. A., Nag, S. & Dehoff, R. R., Jan 15 2026, In: Powder Technology. 467, 121526.Research output: Contribution to journal › Article › peer-review
Open Access2 Scopus citations -
Novel Non-Atomizing Process for Producing Powder for Additive Manufacturing
Shyam, A., Rakhmonov, J., Plotkowski, A., Dehoff, R. & Aldridge, C., 2026, United StatesResearch output: Other contribution › Technical Report
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Additively Manufactured Pressure Limiting Irradiation Capsule for the High Flux Isotope Reactor
List III, F., Howard, R., Carver, K., Joslin, C., Ortega Rojas, J., Butcher, T. & Dehoff, R., 2025, United StatesResearch output: Other contribution › Technical Report
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Advancing Additive Manufacturing Through Artificial Intelligence–Powered, High-Throughput, Nondestructive Characterization and Process Optimization
Ziabari, A., Rahman, O., Raid, V. K. S., Snow, Z., Rossy, A. M., Graham, S., Rajas, J. O., Nandwana, P., Plotkowski, A., Kirka, M., Paquit, V. & Dehoff, R., 2025, United StatesResearch output: Other contribution › Technical Report
Awards
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2022 R&D 100 Award for DuAlumin-3D: An Additively Manufactured Dual-Strengthened Aluminum Alloy Designed for Extreme Creep and Fatigue Resistance
Plotkowski, A. (Recipient), Wang, Q. (Recipient), Jones, J. (Recipient), Wang, A. (Recipient), Hess, D. (Recipient), Wilson, D. (Recipient), Gerard, D. (Recipient), Burkle, D. (Recipient), Jones, R. (Recipient), Stansberry, C. (Recipient), Shyam, A. (Recipient), Dehoff, R. (Recipient), Haynes, J. A. (Recipient), Michi, R. A. (Recipient), Bahl, S. (Recipient), Yang, Y. (Recipient), Allard Jr, L. (Recipient), Poplawsky, J. (Recipient), Peter, B. (Recipient), Splitter, D. (Recipient), Jun, J. (Recipient) & Sisco, K. (Recipient), 2022
Prize: Honorary award
Datasets
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X-ray Computed Tomography Data of Dense Metallic Components
Ziabari, A. (Creator), Rahman, O. (Creator), Singanallur Vaidyanathan, V. (Creator) & Dehoff, R. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), Jun 12 2025
DOI: 10.13139/ornlnccs/2568789
Dataset
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In situ Visible Light and Thermal Imaging Data from a Laser Powder Bed Fusion Additive Manufacturing Process Co-Registered to X-ray Computed Tomography and Fatigue Data
Snow, Z. (Creator), Scime, L. (Creator), Joslin, C. (Creator), Halsey, W. (Creator), Marquez Rossy, A. (Creator), Ziabari, A. (Creator), Paquit, V. (Creator) & Dehoff, R. (Creator), Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Oak Ridge Leadership Computing Facility (OLCF); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2025
DOI: 10.13139/ornlnccs/2524534
Dataset