Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Orkun Furat

Has grant

Assistant Professor in Applied AI and Data Science

University of Southern Denmark

Denmark

Research Interests

Explore related searches

Professors in Condensed Matter Physics

Recent Grants

Grant: Close

DELFIN - Digitales Elektrodendesign für Festkörperbatterien

Open Date: 2023-10-01

Close Date: 2026-09-30

Grant: Close

Verbundprojekt: Industrialisierung von Intelligenten Legierungen und Wolfram-Faser verstärkten Wolfram-Kompositen für Fusionskraftwerke (a-SMART-FIT) - Teilvorhaben: Prozess-Struktur-Eigenschafts-Beziehungen für Wolfram-Komposite zur Optimierung industrieller Herstellungsverfahren

Open Date:

Close Date:

Articles (20)

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Collaborators (5)

Thomas Carraro

Helmut Schmidt University

GERMANY

View details

Phillip Gräfensteiner

Universität Ulm

GERMANY

View details

Baixiang Xu

Prof

Technische Universität Darmstadt

GERMANY

View details

Donal Finegan

Scientist

National Renewable Energy Laboratory

UNITED STATES

View details

F. E. Kruis

Universität Duisburg-Essen

GERMANY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Orkun Furat

Research Interests

Explore related searches

Recent Grants

Articles (20)

Real-time prediction of aggregate structures based on bivariate aerosol dynamics

Stereological reconstructions of 3D cellular microstructures by combining adversarial learning and Voronoi tessellations

CNN-Based 3D Characterization and Liberation Analysis of Lithium-Bearing Slag Particles Using Correlative CT and SEM Imaging

Virtual materials testing of ASSB cathodes combining AI-based stochastic 3D modeling and numerical simulations

Statistical analysis and modeling of the 3D morphology and texture of lunar regolith simulants

A computational framework for tracking grain boundaries in 3D image data: Quantifying boundary curvatures and velocities in polycrystalline materials

Structure–Property Relationships of Recycled Lithium-Ion Battery Cathodes: Microstructure Optimization Using Virtual Materials Testing

Assessing the Mixing Quality of Hetero‐Aggregates: Applying Mixing Theory to STEM‐EDX Elemental Maps

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

Stochastic modeling of particle structures in spray fluidized bed agglomeration using methods from machine learning

A length-scale insensitive cohesive phase-field interface model: Application to concurrent bulk and interface fracture simulation in Lithium-ion battery materials

Super-resolving 3D nanostructures using artificially generated image data and spatial transport simulations

Artificial filter cake generation: Digital twins via stochastic 3D modeling based on μ-CT image data

Stereological 3D modeling of nano-scale catalyst particles using TEM projections

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

3D Tomographic Analysis of Regolith Simulants Enabling Multidimensional Particle-Discrete Characterization

Digital Modeling of Regolith Flowability Using Stochastic Modeling and Discrete Element Method – a Concept

UPREB: Universal Predictors of Regolith Behaviour – Concept and Overview

Quantitative characterization of hydrophobic agglomeration at different mixing intensities using a copula-based probabilistic modeling approach

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

Collaborators (5)

Thomas Carraro

Phillip Gräfensteiner

Baixiang Xu

Donal Finegan

F. E. Kruis

Make your next move.