Publications per year
Publications per year
Overview
Education/Academic qualification
Eng-Matls Sci, Doctorate Degree
Fingerprint
Dive into the research topics where Ryan Dehoff is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
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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 Access -
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
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Convergent Manufacturing of Large-Scale Components for Nuclear Applications, via Additive Manufacturing and Powder Metallurgy Hot Isostatic Pressing
Nag, S., Ajjarapu, P., Sarkar, S., List III, F., Mayeur, J., Nycz, A., Masuo, C., Chavez, C., Paramanathan, M., Feldhausen, T., Ziabari, A., Snow, Z., Cummings, C., Dehoff, R., Sun, H. & Ramuhalli, P., 2025, United StatesResearch output: Other contribution › Technical Report
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Deep-learning based artificial intelligence tool for melt pools and defect segmentation
Peles, A., Paquit, V. C. & Dehoff, R. R., Oct 2025, In: Journal of Intelligent Manufacturing. 36, 7, p. 4679-4694 16 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
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, 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