| Structural characterization of nanoscale intermetallic precipitates in highly neutron irradiated reactor pressure vessel steels DJ Sprouster, J Sinsheimer, E Dooryhee, SK Ghose, P Wells, T Stan, ... Scripta Materialia 113, 18-22, 2016 | 81 | 2016 |
| Optimizing convolutional neural networks to perform semantic segmentation on large materials imaging datasets: X-ray tomography and serial sectioning T Stan, ZT Thompson, PW Voorhees Materials Characterization 160, 110119, 2020 | 78 | 2020 |
| Characterization of polyhedral nano-oxides and helium bubbles in an annealed nanostructured ferritic alloy T Stan, Y Wu, J Ciston, T Yamamoto, GR Odette Acta Materialia 183, 484-492, 2020 | 35 | 2020 |
| Segmentation of Experimental Datasets Via Convolutional Neural Networks Trained on Phase Field Simulations J Yeom, T Stan, S Hong, PW Voorhees Available at SSRN 3680400, 2020 | 23 | 2020 |
| Nano-Oxide Dispersion-Strengthened Steels GR Odette, NJ Cunningham, T Stan, ME Alam, Y De Carlan Structural Alloys for Nuclear Energy Applications, 529-583, 2019 | 20 | 2019 |
| Infrastructure development for radioactive materials at the NSLS-II DJ Sprouster, R Weidner, SK Ghose, E Dooryhee, TJ Novakowski, T Stan, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2018 | 19 | 2018 |
| Fabrication and Characterization of Naturally Selected Epitaxial Fe-{111} Y2Ti2O7 Mesoscopic Interfaces: Some Potential Implications to Nano-Oxide Dispersion-Strengthened Steels T Stan, Y Wu, GR Odette, KE Sickafus, HA Dabkowska, BD Gaulin Metallurgical and Materials Transactions A 44 (10), 4505-4512, 2013 | 17 | 2013 |
| Microstructural characterization of dendritic evolution using two-point statistics KLM Elder, T Stan, Y Sun, X Xiao, PW Voorhees Scripta Materialia 182, 81-85, 2020 | 11 | 2020 |
| Coarsening of dendrites in solution-based freeze-cast ceramic systems N Arai, T Stan, S Macfarland, PW Voorhees, NS Muyanja, AJ Shahani, ... Acta Materialia 215, 117039, 2021 | 10 | 2021 |
| Building towards a universal neural network to segment large materials science imaging datasets T Stan, ZT Thompson, PW Voorhees Developments in X-Ray Tomography XII 11113, 297-302, 2019 | 7 | 2019 |
| Epitaxial Fe Thin Films on {100} Y2Ti2O7: Model Interfaces for Nano-Oxide Dispersion Strengthened Steels T Stan, Y Wu, PB Wells, HD Zhou, GR Odette Metallurgical and Materials Transactions A 48 (11), 5658-5666, 2017 | 5 | 2017 |
| X-ray absorption spectroscopy characterization of embedded and extracted nano-oxides T Stan, DJ Sprouster, A Ofan, GR Odette, LE Ecker, I Charit Journal of Alloys and Compounds 699, 1030-1035, 2017 | 5 | 2017 |
| Segmentation of tomography datasets using 3D convolutional neural networks J James, N Pruyne, T Stan, M Schwarting, J Yeom, S Hong, P Voorhees, ... Computational Materials Science 216, 111847, 2023 | 4 | 2023 |
| Three-dimensional investigation of fragment distribution in Al–7wt.% Si solidified in microgravity L Abou-Khalil, Z Thompson, G Reinhart, T Stan, L Sturz, G Zimmermann, ... Acta Materialia 250, 118882, 2023 | 2 | 2023 |
| The Role of Oxides in Nanostructured Ferritic Alloys and Bilayers: Interfaces, Helium Partitioning and Bubble Formation T Stan University of California, Santa Barbara, 2017 | 2 | 2017 |
| Ground Truths for Semantic Segmentation of Dendrites via Machine Learning T Stan, Z Thompson, P Voorhees Materials Data Facility, 2019 | 1 | 2019 |
| Raw Images for Semantic Segmentation of Dendrites via Machine Learning T Stan, Z Thompson, P Voorhees DOI: 10.18126/m2rm08, 2019 | 1* | 2019 |
| 3D Convolutional Neural Networks for Dendrite Segmentation Using Fine-Tuning and Hyperparameter Optimization J James, N Pruyne, T Stan, M Schwarting, J Yeom, S Hong, P Voorhees, ... arXiv preprint arXiv:2205.01167, 2022 | | 2022 |
| Fabrication and Characterization of Oriented Fe-Y 2 Ti 2 O 7 Interfaces: Implications to the Development and Optimization of Nanostructured Ferritic Alloys T Stan, Y Wu, GR Odette, K Sickafus, H Dabkowska, B Gaulin AIP Conference Proceedings, 2012 | | 2012 |
