Pınar Acar

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Veera SundararaghavanUniversity of Michigan, Ann ArborZweryfikowany adres z umich.edu
Melike NikbayProfessor of Aerospace Engineering, Istanbul Technical UniversityZweryfikowany adres z itu.edu.tr
Arulmurugan SenthilnathanVanderbilt UniversityZweryfikowany adres z vanderbilt.edu
MD MAHMUDUL HASANPostdoctoral Research Associate, University of PittsburghZweryfikowany adres z pitt.edu
Ankit AgrawalResearch Professor, Northwestern UniversityZweryfikowany adres z eecs.northwestern.edu
Alok ChoudharyProfessor Northwestern UniversityZweryfikowany adres z eecs.northwestern.edu
Wei-keng LiaoNorthwestern UniversityZweryfikowany adres z eecs.northwestern.edu
Arindam PaulSenior Data Scientist (ML Research), American Family InsuranceZweryfikowany adres z amfam.com
Avinkrishnan A VijayachandranComposite Structures Lab, University of MichiganZweryfikowany adres z umich.edu
Anthony WaasAnthony Waas, Richard A Auhll Department Chair and Felix Pawlowski ProfessorZweryfikowany adres z umich.edu
Kamal ChoudharyNational Institute of Standards and TechnologyZweryfikowany adres z nist.gov
Francesca TavazzaNational Institute of Standards and TechnologyZweryfikowany adres z nist.gov
alim rustem aslanIstanbul Technical UniversityZweryfikowany adres z itu.edu.tr
Zekeriya Ender EgerVirginia TachZweryfikowany adres z vt.edu
Siddhartha SrivastavaAssistant Research Scientist, University of MichiganZweryfikowany adres z umich.edu
Yuwei MaoNorthwestern UniversityZweryfikowany adres z u.northwestern.edu
Rosanne LiuML Collective; Google DeepMindZweryfikowany adres z mlcollective.org
Iman JavaheriNASA Langley Research CenterZweryfikowany adres z nasa.gov
Dogacan Su OzturkGeophysical Institute | University of Alaska FairbanksZweryfikowany adres z alaska.edu
Raymundo ArroyaveProfessor of Materials Science and Engineering, Mechanical Engineering. Texas A&MZweryfikowany adres z tamu.edu

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Pınar Acar

Assistant Professor at Virginia Tech

Zweryfikowany adres z vt.edu - Strona główna

Multi-Scale Modeling ICME Uncertainty Quantification Design Optimization Machine Learning


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	249	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	48	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	43	2017
Uncertainty Quantification of Microstructural Properties due to Experimental Variations P Acar, V Sundararaghavan AIAA Scitech 2017 Forum, 2017	41	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	37	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	31	2020
Recent progress of uncertainty quantification in small-scale materials science P Acar Progress in Materials Science 117, 100723, 2021	28	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	18	2021
Design of β-Titanium Microstructures for Implant Materials S Callıoglu, P Acar Materials Science and Engineering C, 2020	18	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 approach for identification of microstructure–process linkages P Acar AIAA Journal 57 (8), 3608-3614, 2019	14	2019

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