Projects per year
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Dive into the research topics where Deposition Science and Technology is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
Profiles
Projects
- 1 Active
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Establishment of an integrated, advanced manufacturing and data science driven paradigm for advanced reactor systems
Miller, J. K. J. K. (PI), Shargots, S. J. S. J. (CoPI), Terrani, K. A. K. A. (CoPI) & Peter, W. (CoPI)
01/1/18 → …
Project: Research
Research output
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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 -
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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A highly wear resistant nanostructured bainitic steel with accelerated transformation kinetics
Kannan, R., Wang, Y., Grejtak, T., Lim, B. & Nandwana, P., Mar 1 2025, In: Journal of Materials Research and Technology. 35, p. 6797-6803 7 p.Research output: Contribution to journal › Article › peer-review
Open Access
Prizes
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2021 R&D 100 Award for UCC: Ultraconductive Copper-Carbon Nanotube Composite
Aytug, T. (Recipient), Li, K. (Recipient), Ozpineci, B. (Recipient), McGuire, M. (Recipient), List III, F. (Recipient), Ozcan, S. (Recipient), Skolrood, L. (Recipient), Ivanov, I. (Recipient), Yoon, M. (Recipient) & Lupini, A. (Recipient), 2021
Prize: Honorary award
Datasets
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Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2022-10)
Scime, L. (Creator), Joslin, C. (Creator), Duncan, R. (Creator), Brinkley, F. (Creator), Ledford, C. (Creator), Siddel, D. (Creator) & Paquit, V. (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), Feb 17 2023
DOI: 10.13139/ORNLNCCS/1896716
Dataset
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Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2021-03)
Scime, L. (Creator), Paquit, V. (Creator), Joslin, C. (Creator), Richardson, D. (Creator), Goldsby, D. (Creator) & Lowe, L. (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), Feb 17 2023
DOI: 10.13139/ORNLNCCS/1779073
Dataset
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Layer-wise Imaging Dataset from Powder Bed Additive Manufacturing Processes for Machine Learning Applications (Peregrine v2022-10.1)
Scime, L. (Creator), Joslin, C. (Creator), Duncan, R. (Creator), Brinkley, F. (Creator), Ledford, C. (Creator), Siddel, D. (Creator) & Paquit, V. (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), Feb 13 2023
DOI: 10.13139/ORNLNCCS/1923043
Dataset