Projects per year
Fingerprint
Researcher collaborations from the last five years
Profiles
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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
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Capture of Organic Iodides from Vessel Off-Gas Streams
Tavlarides, L. L. (PI), Yiacoumi, S. (CoPI), Tsouris, C. (CoPI) & Law, J. J. (CoPI)
Nuclear Energy University Program
01/1/18 → …
Project: Research
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Sorption Modeling and Verification for Off-Gas Treatment
Tavlarides, L. L. (PI), Tsouris, C. (CoPI), Yiacoumi, S. (CoPI), DePaoli, D. W. (CoPI), Gabitto, J. (CoPI), Law, J. J. (CoPI) & Rutledge, V. V. (CoPI)
Nuclear Energy University Program
01/1/14 → …
Project: Research
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A co-registered in-situ and ex-situ dataset from wire arc additive manufacturing process
Orlyanchik, V., Kimmell, J., Snow, Z., Ziabari, A. & Paquit, V., Dec 2025, In: Scientific Data. 12, 1, 343.Research output: Contribution to journal › Article › peer-review
Open Access -
Additive Manufacturing with Cellulose-Based Composites: Materials, Modeling, and Applications
De, S., Rukmani, S. J., Zhao, X., Clarkson, C., Vautard, F., Bhagia, S., Goswami, M., Zhang, S., Elyas, S. F., Zhao, W., Smith, J. C., Ragauskas, A. J., Ozcan, S., Tekinalp, H., Si, M., Huang, J. & He, X., Feb 12 2025, In: Advanced Functional Materials. 35, 7, 2414222.Research output: Contribution to journal › Review article › peer-review
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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
Activities
- 1 Oral presentation
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Utilizing a Dynamic Segmentation Convolutional Neural Network for Microstructure Analysis
Taller, S. (Invited speaker), Scime, L. (Invited speaker) & Terrani, K. (Invited speaker)
Oct 2021Activity: Talk or presentation › Oral presentation
Prizes
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2018 R&D 100 Award for Ambient Reactive Extrusion Additive Manufacturing
Rios, O. (Recipient), Carter, W. (Recipient), Love, L. (Recipient), Lloyd, P. (Recipient) & Post, B. (Recipient), 2018
Prize: Honorary award
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2019 R&D 100 Award for High Strength Binder System for Additive Manufacturing
Saito, T. (Recipient), Elliott, A. (Recipient), Han, L. (Recipient), Gilmer, D. (Recipient) & Lehmann, M. (Recipient), 2019
Prize: Honorary award
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2020 R&D 100 Award for Biomacromolecule Engineering by Soft Chain Coupling Technology
Ozcan, S. (Recipient), Tekinalp, H. (Recipient), Li, K. (Recipient), Wang, Y. (Recipient) & Meng, X. (Recipient), 2020
Prize: Honorary award
Datasets
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A Co-Registered In-Situ and Ex-Situ Dataset from a Laser Powder Bed Fusion Additive Manufacturing Process (Peregrine v2023-10)
Scime, L. (Creator), Snow, Z. (Creator), Ziabari, A. (Creator), Halsey, W. (Creator), Joslin, C. (Creator), Knapp, G. (Creator), Coleman, J. (Creator), Peles, A. (Creator), Graham, S. (Creator), Marquez Rossy, A. (Creator), Duncan, R. (Creator) & Paquit, V. (Creator), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Oct 18 2023
DOI: 10.13139/ORNLNCCS/2008021
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), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Feb 13 2023
DOI: 10.13139/ORNLNCCS/1923043
Dataset
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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), Constellation by Oak Ridge Leadership Computing Facility (OLCF), Feb 17 2023
DOI: 10.13139/ORNLNCCS/1896716
Dataset