| 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 | 273 | 2021 |
| 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 | 115 | 2023 |
| MOF membranes for CO2 capture: past, present and future H Demir, GO Aksu, HC Gulbalkan, S Keskin Carbon Capture Science & Technology 2, 100026, 2022 | 95 | 2022 |
| Computational Selection of High-Performing Covalent Organic Frameworks for Adsorption and Membrane-Based CO2/H2 Separation GO Aksu, H Daglar, C Altintas, S Keskin The Journal of Physical Chemistry C 124 (41), 22577-22590, 2020 | 55 | 2020 |
| Accelerating discovery of COFs for CO2 capture and H2 purification using structurally guided computational screening GO Aksu, I Erucar, ZP Haslak, S Keskin Chemical Engineering Journal 427, 131574, 2022 | 43 | 2022 |
| 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 | 14 | 2023 |
| Advancing CH 4/H 2 separation with covalent organic frameworks by combining molecular simulations and machine learning GO Aksu, S Keskin Journal of Materials Chemistry A 11 (27), 14788-14799, 2023 | 14 | 2023 |
| Exploring covalent organic frameworks for H2S+ CO2 separation from natural gas using efficient computational approaches GO Aksu, I Erucar, ZP Haslak, S Keskin Journal of CO2 Utilization 62, 102077, 2022 | 12 | 2022 |
| Computational simulations of metal–organic frameworks to enhance adsorption applications H Daglar, HC Gulbalkan, GO Aksu, S Keskin Advanced Materials, 2405532, 2024 | 7 | 2024 |
| Rapid and Accurate Screening of the COF Space for Natural Gas Purification: COFInformatics GO Aksu, S Keskin ACS Applied Materials & Interfaces 16 (15), 19806-19818, 2024 | 7 | 2024 |
| High-throughput computational screening of MOF adsorbents for efficient propane capture from air and natural gas mixtures G Ercakir, GO Aksu, S Keskin The Journal of Chemical Physics 160 (8), 2024 | 5 | 2024 |
| Hierarchical computational screening of quantum metal–organic framework database to identify metal–organic frameworks for volatile organic-compound capture from air G Ercakir, GO Aksu, C Altintas, S Keskin ACS Engineering Au 3 (6), 488-497, 2023 | 4 | 2023 |
| Understanding CO adsorption in MOFs combining atomic simulations and machine learning G Ercakir, GO Aksu, S Keskin Scientific Reports 14 (1), 24931, 2024 | 1 | 2024 |
| The COF Space: Materials Features, Gas Adsorption, and Separation Performances Assessed by Machine Learning GO Aksu, S Keskin ACS Materials Letters 7, 954-960, 2025 | | 2025 |
| Publisher Correction: Understanding CO adsorption in MOFs combining atomic simulations and machine learning G Ercakir, GO Aksu, S Keskin Scientific Reports 14, 28504, 2024 | | 2024 |
SEDA KESKINProfessor, Fellow of Royal Society of Chemistry, Koç UniversityVerifisert e-postadresse på ku.edu.tr