引用次数
引用: 1,820
H-指数: 18
I10-指数 : 20
出版物: 26
Calibrated localization relationships for elastic polycrystalline aggregates
Yuksel C. Yabansu
Georgia Institute of Technology
2017
A Comparative Study of the Efficacy of Local/Global and Parametric/Nonparametric Machine Learning Methods for Establishing Structure–Property Linkages in High-Contrast 3D Elastic Composites
Patxi Fernandez-Zelaia , Yuksel C. Yabansu , Surya R. Kalidindi
Integrating Materials and Manufacturing Innovation 8 ( 2) 67 -81
11
2019
High-Throughput Exploration of the Process Space in 18% Ni (350) Maraging Steels via Spherical Indentation Stress–Strain Protocols and Gaussian Process Models
Sepideh Parvinian , Yuksel C. Yabansu , Ali Khosravani , Hamid Garmestani
Integrating Materials and Manufacturing Innovation 9 ( 3) 199 -212
11
2020
Data science approaches for microstructure quantification and feature identification in porous membranes
Patrick Altschuh , Yuksel C. Yabansu , Johannes Hötzer , Michael Selzer
Journal of Membrane Science 540 88 -97
22
2017
Analytics for microstructure datasets produced by phase-field simulations
Philipp Steinmetz , Yuksel C. Yabansu , Johannes Hötzer , Marcus Jainta
Acta Materialia 103 192 -203
56
2016
Quantification and classification of microstructures in ternary eutectic alloys using 2-point spatial correlations and principal component analyses
Abhik Choudhury , Yuksel C. Yabansu , Surya R. Kalidindi , Anne Dennstedt
Acta Materialia 110 131 -141
38
2016
Extraction of reduced-order process-structure linkages from phase-field simulations
Yuksel C. Yabansu , Philipp Steinmetz , Johannes Hötzer , Surya R. Kalidindi
Acta Materialia 124 182 -194
47
2017
Calibrated localization relationships for elastic response of polycrystalline aggregates
Yuksel C. Yabansu , Dipen K. Patel , Surya R. Kalidindi
Acta Materialia 81 151 -160
51
2014
Representation and calibration of elastic localization kernels for a broad class of cubic polycrystals
Yuksel C. Yabansu , Surya R. Kalidindi
Acta Materialia 94 26 -35
41
2015
Material structure-property linkages using three-dimensional convolutional neural networks
Ahmet Cecen , Hanjun Dai , Yuksel C. Yabansu , Surya R. Kalidindi
Acta Materialia 146 76 -84
222
2018
A new framework for rotationally invariant two-point spatial correlations in microstructure datasets
Ahmet Cecen , Yuksel C. Yabansu , Surya R. Kalidindi
Acta Materialia 158 53 -64
15
2018
A digital workflow for learning the reduced-order structure-property linkages for permeability of porous membranes
Yuksel C. Yabansu , Patrick Altschuh , Johannes Hötzer , Michael Selzer
Acta Materialia 195 668 -680
3
2020
Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches
Zijiang Yang , Yuksel C. Yabansu , Dipendra Jha , Wei-keng Liao
Acta Materialia 166 335 -345
115
2019
Application of Gaussian Process regression models for capturing the evolution of microstructure statistics in aging of Nickel-based superalloys
Yuksel C. Yabansu , Almambet Iskakov , Anna Kapustina , Sudhir Rajagopalan
Acta Materialia 178 45 -58
21
2019
Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets
Zijiang Yang , Yuksel C. Yabansu , Reda Al-Bahrani , Wei-keng Liao
Computational Materials Science 151 278 -287
226
2018
Understanding and visualizing microstructure and microstructure variance as a stochastic process
Stephen R. Niezgoda , Yuksel C. Yabansu , Surya R. Kalidindi
Acta Materialia 59 ( 16) 6387 -6400
93
2011
Data Analytics on Phase-Field Simulation Datasets
Yuksel C. Yabansu , Surya R. Kalidindi
World Scientific 177 -204
2020
Microscale volume elements and their effective/homogenized stiffness parameter for high contrast 3-D elastic composite
Yuksel Yabansu , Surya R. Kalidindi
1
2019
Evaluation of Ti-Mn Alloys for Additive Manufacturing Using High-Throughput Experimental Assays and Gaussian Process Regression.
Xinyi Gong , Yuksel Yabansu , Peter Collins , Surya Kalidindi
Materials 13 ( 20) 4641
2020
Application of Gaussian process autoregressive models for capturing the time evolution of microstructure statistics from phase-field simulations for sintering of polycrystalline ceramics
Yuksel C Yabansu , Veronika Rehn , Johannes Hötzer , Britta Nestler
Modelling and Simulation in Materials Science and Engineering 27 ( 8) 084006
8
2019