| Markov random field based microstructure reconstruction using the principal image moments A Senthilnathan, P Acar, M De Graef Materials Characterization 178, 111281, 2021 | 23 | 2021 |
| Shape moment invariants as a new methodology for uncertainty quantification in microstructures A Senthilnathan, P Acar AIAA Scitech 2021 Forum, 1697, 2021 | 9 | 2021 |
| Uncertainty quantification of metallic microstructures using principal image moments A Senthilnathan, I Javaheri, H Zhao, V Sundararaghavan, M DeGraef, ... Computational Materials Science 215, 111775, 2022 | 7 | 2022 |
| Multiscale modeling for texture and grain topology of polycrystalline microstructures under uncertainty A Senthilnathan, P Acar AIAA Journal 60 (8), 4969-4975, 2022 | 7 | 2022 |
| Machine learning reinforced multi-scale modeling of microstructures under uncertainties MM Hasan, A Senthilnathan, P Acar AIAA Scitech 2021 Forum, 1140, 2021 | 4 | 2021 |
| Reconstructing synthetic surface topography maps from an experimental measurement using a markov random field graphical network A Senthilnathan, P Acar, B Raeymaekers Tribology Letters 71 (3), 85, 2023 | 3 | 2023 |
| Computational characterization and model verification for 3d microstructure reconstruction of additively manufactured materials A Senthilnathan, I Javaheri, V Sundararaghavan, P Acar AIAA SCITECH 2023 Forum, 2023 | 3 | 2023 |
| New methodologies for grain boundary detection in EBSD data of microstructures RK Catania, A Senthilnathan, J Sions, K Snyder, H Al-Ghaib, ... AIAA SCITECH 2022 Forum, 1424, 2022 | 3 | 2022 |
| Uncertainty dominated phase transitions of 2-d magnetic materials MM Hasan, A Senthilnathan, P Acar AIAA SCITECH 2022 Forum, 0504, 2022 | 3 | 2022 |
| Comparison and validation of stochastic microstructure characterization and reconstruction: Machine learning vs. deep learning methodologies A Senthilnathan, V Saseendran, P Acar, N Yamamoto, ... Acta Materialia 278, 120220, 2024 | 1 | 2024 |
| Quantification of Aleatoric and Epistemic Uncertainty of Microstructures using Experiments and Markov Random Fields MT Long, A Senthilnathan, P Acar AIAA SCITECH 2024 Forum, 1002, 2024 | 1 | 2024 |
| Microstructure-sensitive material design with physics-informed neural networks MM Hasan, ZE Eger, A Senthilnathan, P Acar AIAA SCITECH 2023 Forum, 0539, 2023 | 1 | 2023 |
| Uncertainty-Dominated Phase Transitions of Two-Dimensional Magnetic Materials M Hasan, A Senthilnathan, P Acar AIAA Journal 60 (5), 3357-3363, 2022 | 1 | 2022 |
| Surrogate modeling of microstructure prediction in additive manufacturing A Senthilnathan, P Nath, S Mahadevan, P Witherell Computational Materials Science 247, 113536, 2025 | | 2025 |
| Microstructure-Sensitive Deformation Modeling and Materials Design with Physics-Informed Neural Networks M Hasan, Z Ender Eger, A Senthilnathan, P Acar AIAA Journal 62 (5), 1864-1874, 2024 | | 2024 |
| Reduced-dimension surrogate modeling for microstructure prediction A Senthilnathan, P Nath, S Mahadevan The Minerals, Metals & Materials Society, 2024 | | 2024 |
| Exploring the Stochastic Performance of Metallic Microstructures With Multi-Scale Models A Senthilnathan Virginia Tech, 2023 | | 2023 |
| Grain Topology Quantification of Additively Manufactured Metallic Microstructures H Zhao, A Senthilnathan, K Snyder, J Sions, P Acar AIAA SCITECH 2023 Forum, 1669, 2023 | | 2023 |
Pınar AcarAssociate Professor at Virginia TechVerified email at vt.edu
