The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ... npj Computational Materials 6, 2020 | 270 | 2020 |
Microstructure optimization with constrained design objectives using machine learning-based feedback-aware data-generation A Paul, P Acar, W Liao, A Choudhary, V Sundararaghavan, A Agrawal Computational Materials Science 160, 334-351, 2019 | 58 | 2019 |
A Markov Random Field Approach for Modeling Spatio-Temporal Evolution of Microstructures P Acar, V Sundararaghavan Modelling and Simulation in Materials Science and Engineering 24 (7), 2016 | 49 | 2016 |
Utilization of a linear solver for multiscale design and optimization of microstructures P Acar, V Sundararaghavan AIAA Journal 54 (5), 1751-1759, 2016 | 47 | 2016 |
A linear solution scheme for microstructure design with process constraints P Acar, V Sundararaghavan AIAA Journal, 2016 | 46 | 2016 |
Uncertainty quantification of microstructural properties due to variability in measured pole figures P Acar, V Sundararaghavan Acta Materialia 124, 100-108, 2017 | 44 | 2017 |
Uncertainty Quantification of Microstructural Properties due to Experimental Variations P Acar, V Sundararaghavan AIAA Scitech 2017 Forum, 2017 | 42 | 2017 |
Crystal Plasticity Modeling and Experimental Validation with an Orientation Distribution Function for Ti-7Al Alloy P Acar, A Ramazani, V Sundararaghavan Metals 7 (11), 459, 2017 | 40 | 2017 |
Stochastic Design Optimization of Microstructures with Utilization of a Linear Solver P Acar, S Srivastava, V Sundararaghavan AIAA Scitech 2017 Forum, 2017 | 34 | 2017 |
Machine Learning Reinforced Crystal Plasticity Modeling under Experimental Uncertainty P Acar AIAA Science and Technology Forum (AIAA SciTech), 2020 | 32 | 2020 |
Recent progress of uncertainty quantification in small-scale materials science P Acar Progress in Materials Science 117, 100723, 2021 | 30 | 2021 |
Stochastic design optimization of microstructural features using linear programming for robust design P Acar, V Sundararaghavan AIAA Journal 57 (1), 448-455, 2019 | 22 | 2019 |
Markov Random Field based microstructure reconstruction using the principal image moments A Senthilnathan, P Acar, M De Graef Materials Characterization 178, 111281, 2021 | 20 | 2021 |
Design of β-Titanium Microstructures for Implant Materials S Callıoglu, P Acar Materials Science and Engineering C, 2020 | 19 | 2020 |
Data Sampling Schemes for Microstructure Design with Vibrational Tuning Constraints A Paul, P Acar, R Liu, WK Luo, A Choudhary, V Sundararaghavan, ... AIAA Journal, 2018 | 18 | 2018 |
Crystal Plasticity Model Calibration for Ti-7Al Alloy with a Multi-fidelity Computational Scheme P Acar Integrating Materials and Manufacturing Innovation, 2018 | 17 | 2018 |
The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design. npj Computational Materials 6 K Choudhary, KF Garrity, ACE Reid, B DeCost, AJ Biacchi, ARH Walker, ... ISSN, 2020 | 16 | 2020 |
Uncertainty Quantification for Ti-7Al Alloy Microstructure with an Inverse Analytical Model (AUQLin) P Acar Materials 12 (11), 1773, 2019 | 16 | 2019 |
Reliability-based design optimization of microstructures with analytical formulation P Acar Journal of Mechanical Design 140 (11), 111402, 2018 | 15 | 2018 |
Machine learning reinforced microstructure-sensitive prediction of material property closures M Hasan, P Acar Computational Materials Science 210, 110930, 2022 | 14 | 2022 |