Pınar Acar
Cited by
Cited by
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
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
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
Utilization of a linear solver for multiscale design and optimization of microstructures
P Acar, V Sundararaghavan
AIAA Journal 54 (5), 1751-1759, 2016
A linear solution scheme for microstructure design with process constraints
P Acar, V Sundararaghavan
AIAA Journal, 2016
Uncertainty quantification of microstructural properties due to variability in measured pole figures
P Acar, V Sundararaghavan
Acta Materialia 124, 100-108, 2017
Uncertainty Quantification of Microstructural Properties due to Experimental Variations
P Acar, V Sundararaghavan
AIAA Scitech 2017 Forum, 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
Stochastic Design Optimization of Microstructures with Utilization of a Linear Solver
P Acar, S Srivastava, V Sundararaghavan
AIAA Scitech 2017 Forum, 2017
Machine Learning Reinforced Crystal Plasticity Modeling under Experimental Uncertainty
P Acar
AIAA Science and Technology Forum (AIAA SciTech), 2020
Recent progress of uncertainty quantification in small-scale materials science
P Acar
Progress in Materials Science 117, 100723, 2021
Stochastic design optimization of microstructural features using linear programming for robust design
P Acar, V Sundararaghavan
AIAA Journal 57 (1), 448-455, 2019
Markov Random Field based microstructure reconstruction using the principal image moments
A Senthilnathan, P Acar, M De Graef
Materials Characterization 178, 111281, 2021
Design of β-Titanium Microstructures for Implant Materials
S Callıoglu, P Acar
Materials Science and Engineering C, 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
Crystal Plasticity Model Calibration for Ti-7Al Alloy with a Multi-fidelity Computational Scheme
P Acar
Integrating Materials and Manufacturing Innovation, 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
Uncertainty Quantification for Ti-7Al Alloy Microstructure with an Inverse Analytical Model (AUQLin)
P Acar
Materials 12 (11), 1773, 2019
Reliability-based design optimization of microstructures with analytical formulation
P Acar
Journal of Mechanical Design 140 (11), 111402, 2018
Machine learning reinforced microstructure-sensitive prediction of material property closures
M Hasan, P Acar
Computational Materials Science 210, 110930, 2022
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