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Hasan Can Gülbalkan
Hasan Can Gülbalkan
PhD Candidate, Chemical & Biological Engineering, Koc University
Dirección de correo verificada de ku.edu.tr
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Effect of metal–organic framework (MOF) database selection on the assessment of gas storage and separation potentials of MOFs
H Daglar, HC Gulbalkan, G Avci, GO Aksu, OF Altundal, C Altintas, ...
Angewandte Chemie International Edition 60 (14), 7828-7837, 2021
2652021
Assessing CH4/N2 separation potential of MOFs, COFs, IL/MOF, MOF/Polymer, and COF/Polymer composites
HC Gulbalkan, ZP Haslak, C Altintas, A Uzun, S Keskin
Chemical Engineering Journal 428, 131239, 2022
1262022
Recent advances in computational modeling of MOFs: From molecular simulations to machine learning
H Demir, H Daglar, HC Gulbalkan, GO Aksu, S Keskin
Coordination Chemistry Reviews 484, 215112, 2023
1102023
MOF membranes for CO2 capture: past, present and future
H Demir, GO Aksu, HC Gulbalkan, S Keskin
Carbon Capture Science & Technology 2, 100026, 2022
952022
Composites of porous materials with ionic liquids: Synthesis, characterization, applications, and beyond
Ö Durak, M Zeeshan, N Habib, HC Gulbalkan, AAAM Alsuhile, ...
Microporous and Mesoporous Materials, 111703, 2022
482022
An Integrated Computational–Experimental Hierarchical Approach for the Rational Design of an IL/UiO‐66 Composite Offering Infinite CO2 Selectivity
M Zeeshan, HC Gulbalkan, O Durak, ZP Haslak, U Unal, S Keskin, ...
Advanced Functional Materials 32 (35), 2204149, 2022
332022
Doubling CO2/N2 separation performance of CuBTC by incorporation of 1-n-ethyl-3-methylimidazolium diethyl phosphate
M Zeeshan, HC Gulbalkan, ZP Haslak, S Keskin, A Uzun
Microporous and Mesoporous Materials 316, 110947, 2021
292021
Integrating Molecular Simulations with Machine Learning Guides in the Design and Synthesis of [BMIM][BF4]/MOF Composites for CO2/N2 Separation
H Daglar, HC Gulbalkan, N Habib, O Durak, A Uzun, S Keskin
ACS Applied Materials & Interfaces 15 (13), 17421-17431, 2023
282023
Multi-scale computational screening to accelerate discovery of IL/COF composites for CO2/N2 separation
HC Gulbalkan, ZP Haslak, C Altintas, A Uzun, S Keskin
Separation and Purification Technology 287, 120578, 2022
202022
Accelerated Discovery of Metal–Organic Frameworks for CO2 Capture by Artificial Intelligence
HC Gulbalkan, GO Aksu, G Ercakir, S Keskin
Industrial & Engineering Chemistry Research 63 (1), 37-48, 2023
142023
Composite of MIL-101(Cr) with a Pyrrolidinium-Based Ionic Liquid Providing High CO2 Selectivity
N Habib, O Durak, HC Gulbalkan, AS Aydogdu, S Keskin, A Uzun
ACS Applied Engineering Materials 1 (6), 1473-1481, 2023
72023
Computational simulations of metal–organic frameworks to enhance adsorption applications
H Daglar, HC Gulbalkan, GO Aksu, S Keskin
Advanced Materials, 2405532, 2024
62024
Evaluating CH4/N2 Separation Performances of Hundreds of Thousands of Real and Hypothetical MOFs by Harnessing Molecular Modeling and Machine Learning
HC Gulbalkan, A Uzun, S Keskin
ACS Applied Materials & Interfaces, 2023
62023
Combining computational screening and machine learning to explore MOFs and COFs for methane purification
HC Gulbalkan, A Uzun, S Keskin
Applied Physics Letters 124 (20), 2024
42024
Molecular engineering of a MOF with an ionic liquid sheath for direct air separation at ambient conditions
O Durak, N Habib, HC Gulbalkan, AS Aydogdu, R Ozdemir, S Keskin, ...
Chemical Engineering Journal, 152608, 2024
32024
Boosting CO2 separation in porphyrinic MOF-based mixed matrix membranes via central metal atom integration
N Prasetya, HC Gülbalkan, S Keskin, C Wöll
Carbon Capture Science & Technology 13, 100252, 2024
12024
In Silico-Directed Design and Experimental Validation of an IL/UiO-66 Nanocomposite with Exceptional CO2 Selectivity across a Wide Pressure Range
O Durak, AS Aydogdu, N Habib, HC Gulbalkan, Z Ozerdem, SS Bayazit, ...
ACS Applied Nano Materials 7 (18), 21705-21716, 2024
12024
Assessing CO2 Separation Performances of IL/ZIF-8 Composites Using Molecular Features of ILs
HC Gulbalkan, A Uzun, S Keskin
Carbon Capture Science & Technology, 100373, 2025
2025
Finding high-performance MOFs for effective SF6/N2 separation through high-throughput computational screening and machine learning
P Sezgin, HC Gulbalkan, S Keskin
Journal of Physics: Materials 7 (4), 045006, 2024
2024
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