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Orkun Furat (1990-)

Mathematiker

Name	Orkun Furat
Time	1990- (Date of birth and death)
Place	Ulm (Geburtsort) Deutschland
Gender	männlich
Academic degree	Dr. rer. nat. (an der Fakultät für Mathematik und Wirtschaftswissenschaften der Universität Ulm) (2022)
Profession	Mathematiker (characteristic profession)
Related	Universität Ulm. Institut für Stochastik Informatik (Nebenfach) (Studienfach)
Further information	Ulm, Univ., Tag der Promotion: 20.06.2022
Record type	Person
GND-Identifier	1263018173
Record ID	1263018173
Involved in show all Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes Stochastic 3D reconstruction of cracked polycrystalline NMC particles using 2D SEM data Generating multi-scale Li-ion battery cathode particles with radial grain architectures using stereological generative adversarial networks Impact of Feed Rate and Binder Concentration on the Morphology of Spray Dried Alumina-Polymer Nanocomposites Cohesive phase-field chemo-mechanical simulations of inter- and trans- granular fractures in polycrystalline NMC cathodes via image-based 3D reconstruction Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data An AFM-based approach for quantification of guest particle deformation during mechano-fusion Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology Quantifying the Impact of Charge Rate and Number of Cycles on Structural Degeneration of Li-Ion Battery Electrodes Quantitative characterization of complex particle systems via machine learning and stochastic modeling Artificial generation of representative single Li-ion electrode particle architectures from microscopy data Quantifying the influence of charge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models Mapping the architecture of single lithium ion electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation

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Orkun Furat (1990-)

Generative Adversarial Framework to Calibrate Excursion Set Models for the 3D Morphology of All‐Solid‐State Battery Cathodes

Stochastic 3D reconstruction of cracked polycrystalline NMC particles using 2D SEM data

Generating multi-scale Li-ion battery cathode particles with radial grain architectures using stereological generative adversarial networks

Impact of Feed Rate and Binder Concentration on the Morphology of Spray Dried Alumina-Polymer Nanocomposites

Cohesive phase-field chemo-mechanical simulations of inter- and trans- granular fractures in polycrystalline NMC cathodes via image-based 3D reconstruction

Using convolutional neural networks for stereological characterization of 3D hetero-aggregates based on synthetic STEM data

An AFM-based approach for quantification of guest particle deformation during mechano-fusion

Quantifying the impact of operating temperature on cracking in battery electrodes, using super-resolution of microscopy images and stereology

Quantifying the Impact of Charge Rate and Number of Cycles on Structural Degeneration of Li-Ion Battery Electrodes

Quantitative characterization of complex particle systems via machine learning and stochastic modeling

Artificial generation of representative single Li-ion electrode particle architectures from microscopy data

Quantifying the influence of charge rate and cathode-particle architectures on degradation of Li-ion cells through 3D continuum-level damage models

Mapping the architecture of single lithium ion electrode particles in 3D, using electron backscatter diffraction and machine learning segmentation