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Gokhan Onder Aksu

Showing results (1-10 of 11) with videos related to

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ACS Materials Letters|March 7, 2025
The COF Space: Materials Features, Gas Adsorption, and Separation Performances Assessed by Machine LearningGokhan Onder Aksu, Seda Keskin
ACS Applied Materials & Interfaces|April 8, 2024
Rapid and Accurate Screening of the COF Space for Natural Gas Purification: COFInformaticsGokhan Onder Aksu, Seda Keskin
Journal of Materials Chemistry. A|July 13, 2023
Advancing CH<sub>4</sub>/H<sub>2</sub> separation with covalent organic frameworks by combining molecular simulations and machine learningGokhan Onder Aksu, Seda Keskin
Scientific Reports|October 22, 2024
Understanding CO adsorption in MOFs combining atomic simulations and machine learningGoktug Ercakir, Gokhan Onder Aksu, Seda Keskin
The Journal of Chemical Physics|February 28, 2024
High-throughput computational screening of MOF adsorbents for efficient propane capture from air and natural gas mixturesGoktug Ercakir, Gokhan Onder Aksu, Seda Keskin
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|November 2, 2020
Computational Selection of High-Performing Covalent Organic Frameworks for Adsorption and Membrane-Based CO<sub>2</sub>/H<sub>2</sub> SeparationGokhan Onder Aksu, Hilal Daglar, Cigdem Altintas, et al.
ACS Engineering Au|December 25, 2023
Hierarchical Computational Screening of Quantum Metal-Organic Framework Database to Identify Metal-Organic Frameworks for Volatile Organic-Compound Capture from AirGoktug Ercakir, Gokhan Onder Aksu, Cigdem Altintas, et al.
Advanced Materials (Deerfield Beach, Fla.)|July 29, 2024
Computational Simulations of Metal-Organic Frameworks to Enhance Adsorption ApplicationsHilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, et al.
Industrial & Engineering Chemistry Research|March 2, 2026
ReDD-COFFEE under the Lens: Revealing Adsorption and Separation Performances of Hypothetical COFs Using Molecular Simulations and Machine LearningHilal Ozyurt, Gokhan Onder Aksu, Hasan Can Gulbalkan, et al.
Industrial & Engineering Chemistry Research|January 15, 2024
Accelerated Discovery of Metal-Organic Frameworks for CO<sub>2</sub> Capture by Artificial IntelligenceHasan Can Gulbalkan, Gokhan Onder Aksu, Goktug Ercakir, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
ACS Materials Letters|March 7, 2025
The COF Space: Materials Features, Gas Adsorption, and Separation Performances Assessed by Machine LearningGokhan Onder Aksu, Seda Keskin
ACS Applied Materials & Interfaces|April 8, 2024
Rapid and Accurate Screening of the COF Space for Natural Gas Purification: COFInformaticsGokhan Onder Aksu, Seda Keskin
Journal of Materials Chemistry. A|July 13, 2023
Advancing CH<sub>4</sub>/H<sub>2</sub> separation with covalent organic frameworks by combining molecular simulations and machine learningGokhan Onder Aksu, Seda Keskin
Scientific Reports|October 22, 2024
Understanding CO adsorption in MOFs combining atomic simulations and machine learningGoktug Ercakir, Gokhan Onder Aksu, Seda Keskin
The Journal of Chemical Physics|February 28, 2024
High-throughput computational screening of MOF adsorbents for efficient propane capture from air and natural gas mixturesGoktug Ercakir, Gokhan Onder Aksu, Seda Keskin
The Journal of Physical Chemistry. C, Nanomaterials and Interfaces|November 2, 2020
Computational Selection of High-Performing Covalent Organic Frameworks for Adsorption and Membrane-Based CO<sub>2</sub>/H<sub>2</sub> SeparationGokhan Onder Aksu, Hilal Daglar, Cigdem Altintas, et al.
ACS Engineering Au|December 25, 2023
Hierarchical Computational Screening of Quantum Metal-Organic Framework Database to Identify Metal-Organic Frameworks for Volatile Organic-Compound Capture from AirGoktug Ercakir, Gokhan Onder Aksu, Cigdem Altintas, et al.
Advanced Materials (Deerfield Beach, Fla.)|July 29, 2024
Computational Simulations of Metal-Organic Frameworks to Enhance Adsorption ApplicationsHilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, et al.
Industrial & Engineering Chemistry Research|March 2, 2026
ReDD-COFFEE under the Lens: Revealing Adsorption and Separation Performances of Hypothetical COFs Using Molecular Simulations and Machine LearningHilal Ozyurt, Gokhan Onder Aksu, Hasan Can Gulbalkan, et al.
Industrial & Engineering Chemistry Research|January 15, 2024
Accelerated Discovery of Metal-Organic Frameworks for CO<sub>2</sub> Capture by Artificial IntelligenceHasan Can Gulbalkan, Gokhan Onder Aksu, Goktug Ercakir, et al.
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