Research Project: Computational Simulations of MOFs for Gas Separations
| dc.contributor.department | Department of Chemical and Biological Engineering | |
| dc.contributor.department | Department of Chemical and Biological Engineering | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.contributor.schoolcollegeinstitute | College of Engineering | |
| dc.date.accessioned | 2024-12-29T10:37:49Z | |
| dc.date.available | 2024-12-29 | |
| dc.description.publisherscope | International | |
| dc.identifier | EC.00105 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/24157 | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Projects Collection | |
| dc.relation.relatedpublications | Computational screening of MOFs for acetylene separation | |
| dc.relation.relatedpublications | Combining machine learning and molecular simulations to unlock gas separation potentials of MOF membranes and MOF/polymer MMMs | |
| dc.relation.relatedpublications | Evaluating charge equilibration methods to generate electrostatic fields in nanoporous materials | |
| dc.relation.relatedpublications | Recent advances in simulating gas permeation through MOF membranes | |
| dc.relation.relatedpublications | Computer simulations of 4240 MOF membranes for H-2/CH4 separations: insights into structure-performance relations | |
| dc.relation.relatedpublications | Unlocking the effect of H2O on CO2 separation performance of promising MOFs using atomically-detailed simulations | |
| dc.relation.relatedpublications | Integrating molecular simulations with machine learning guides in the design and synthesis of [bmim][bf(4)]/mof composites for co(2)/n(2) separation | |
| dc.relation.relatedpublications | On the shoulders of high-throughput computational screening and machine learning: design and discovery of MOFs for H2 storage and purification | |
| dc.relation.relatedpublications | Enhancing CO2/CH4 and CO2/N-2 separation performances of ZIF-8 by post-synthesis modification with [BMIM][SCN] | |
| dc.relation.relatedpublications | High-throughput computational screening of MOF adsorbents for efficient propane capture from air and natural gas mixtures | |
| dc.relation.relatedpublications | MOF-based MMMs breaking the upper bounds of polymers for a large variety of gas separations | |
| dc.relation.relatedpublications | Molecular simulations of MOF membranes and performance predictions of MOF/polymer mixed matrix membranes for CO2/CH4 separations | |
| dc.relation.relatedpublications | Doubling CO2/N2 separation performance of CuBTC by incorporation of 1-n-ethyl-3-methylimidazolium diethyl phosphate | |
| dc.relation.relatedpublications | Composites of porous materials with ionic liquids: synthesis, characterization, applications, and beyond | |
| dc.relation.relatedpublications | Hypothetical yet effective: computational identification of high-performing MOFs for CO2 capture | |
| dc.relation.relatedpublications | High-throughput screening of COF membranes and COF/polymer MMMs for helium separation and hydrogen purification | |
| dc.relation.relatedpublications | Accelerating discovery of COFs for CO2 capture and H2 purification using structurally guided computational screening | |
| dc.relation.relatedpublications | MOF/COF hybrids as next generation materials for energy and biomedical applications | |
| dc.relation.relatedpublications | Recent advances, opportunities, and challenges in high-throughput computational screening of MOFs for gas separations | |
| dc.relation.relatedpublications | High-throughput screening of MOF adsorbents and membranes for H-2 purification and CO2 capture | |
| dc.relation.relatedpublications | In silico design of MOFs with enhanced CO2 separation performances: role of metal sites | |
| dc.relation.relatedpublications | Recent advances in computational modeling of MOFs: from molecular simulations to machine learning | |
| dc.relation.relatedpublications | High-throughput molecular simulations of metal organic frameworks for CO2 separation: opportunities and challenges | |
| dc.relation.relatedpublications | Assessing CH4/N2 separation potential of MOFs, COFs, IL/MOF, MOF/Polymer, and COF/Polymer composites | |
| dc.relation.relatedpublications | Rapid and accurate screening of the COF space for natural gas purification: COFInformatics | |
| dc.relation.relatedpublications | Simulation of H-2/CH4 mixture permeation through MOF membranes using non-equilibrium molecular dynamics | |
| dc.relation.relatedpublications | Exploring covalent organic frameworks for H2S+CO2 separation from natural gas using efficient computational approaches | |
| dc.relation.relatedpublications | Role of partial charge assignment methods in high-throughput screening of MOF adsorbents and membranes for CO2/CH4 separations | |
| dc.relation.relatedpublications | Can COFs replace MOFs in flue gas separation? high-throughput computational screening of COFs for CO2/N2 separation | |
| dc.relation.relatedpublications | Computational insights into efficient CO2 and H2S capture through zirconium MOFs | |
| dc.relation.relatedpublications | Evaluating CH4/N2 separation performances of hundreds of thousands of real and hypothetical MOFs by harnessing molecular modeling and machine learning | |
| dc.relation.relatedpublications | Multi-level computational screening of in silico designed MOFs for efficient SO(2) capture | |
| dc.relation.relatedpublications | Effects of force field selection on the computational ranking of MOFs for CO2 separations | |
| dc.relation.relatedpublications | Reply to comment on "database for CO2 separation performances of MOFs based on computational materials screening" | |
| dc.relation.relatedpublications | Metal exchange boosts the CO2 selectivity of metal organic frameworks having Zn-Oxide nodes | |
| dc.relation.relatedpublications | Machine learning meets with metal organic frameworks for gas storage and separation | |
| dc.relation.relatedpublications | A new era of modeling MOF-based membranes: cooperation of theory and data science | |
| dc.relation.relatedpublications | Database for CO2 separation performances of MOFs based on computational materials screening | |
| dc.relation.relatedpublications | Combining computational screening and machine learning to explore MOFs and COFs for methane purification | |
| dc.relation.relatedpublications | Exploring the performance limits of MOF/polymer MMMs for O-2/N-2 separation using computational screening | |
| dc.relation.relatedpublications | How reproducible are surface areas calculated from the BET equation? | |
| dc.relation.relatedpublications | Combined GCMC, MD, and DFT approach for unlocking the performances of COFs for methane purification | |
| dc.relation.relatedpublications | Multi-scale computational screening to accelerate discovery of IL/COF composites for CO2/N-2 separation | |
| dc.relation.relatedpublications | Accelerated discovery of metal-organic frameworks for CO2 capture by artificial intelligence | |
| dc.relation.relatedpublications | Molecular simulations of MOF membranes for separation of ethane/ethene and ethane/methane mixtures | |
| dc.relation.relatedpublications | High-throughput screening of MOFs as fillers in mixed matrix membranes for flue gas separation | |
| dc.relation.relatedpublications | CO2 separation from flue gas mixture using [BMIM][BF4]/MOF composites: linking high-throughput computational screening with experiments | |
| dc.relation.relatedpublications | Zr-MOFs for CF4/CH4, CH4/H-2, and CH4/N-2 separation: towards the goal of discovering stable and effective adsorbents | |
| dc.relation.relatedpublications | An extensive comparative analysis of two MOF databases: high-throughput screening of computation-ready MOFs for CH4 and H2 adsorption | |
| dc.relation.relatedpublications | High-throughput computational screening of the metal organic framework database for CH4/H-2 separations | |
| dc.relation.relatedpublications | Computational selection of high-performing covalent organic frameworks for adsorption and membrane-based CO2 /H2 separation | |
| dc.relation.relatedpublications | MOF adsorbents for flue gas separation: Comparison of material ranking approaches | |
| dc.relation.relatedpublications | An extensive comparative analysis of two MOF databases: high-throughput screening of computation-ready MOFs for CH4 and H2 adsorption | |
| dc.relation.relatedpublications | Composite of MIL-101(Cr) with a Pyrrolidinium-based ionic liquid providing high CO(2) selectivity | |
| dc.relation.relatedpublications | Computational screening of metal-organic frameworks for membrane-based CO2/N-2/H2O separations: best materials for flue gas separation | |
| dc.relation.relatedpublications | Computational investigation of dual filler-incorporated polymer membranes for efficient CO2 and H2 separation: MOF/COF/Polymer mixed matrix membranes | |
| dc.relation.relatedpublications | Revealing acetylene separation performances of anion-pillared MOFs by combining molecular simulations and machine learning | |
| dc.relation.relatedpublications | An integrated computational-experimental hierarchical approach for the rational design of an IL/UiO-66 composite offering infinite CO2 selectivity | |
| dc.relation.relatedpublications | Large-scale computational screening of MOF membranes and MOF-based polymer membranes for H2/N2 separations | |
| dc.relation.relatedpublications | Computational investigation of multifunctional MOFs for adsorption and membrane-based separation of CF4/CH4, CH4/H-2, CH4/N-2, and N-2/H-2 mixtures | |
| dc.relation.relatedpublications | Hierarchical computational screening of quantum metal-organic framework database to identify metal-organic frameworks for volatile organic-compound capture from air | |
| dc.relation.relatedpublications | Effect of MOF database selection on the assessment of gas storage and separation potentials of MOFs | |
| dc.relation.relatedpublications | Unlocking CO2 separation performance of ionic liquid/CuBTC composites: combining experiments with molecular simulations | |
| dc.relation.relatedpublications | A novel IL/MOF/polymer mixed matrix membrane having superior CO2/N2 selectivity | |
| dc.relation.relatedpublications | MIL-53(Al) as a versatile platform for ionic-liquid/MOF composites to enhance CO2 selectivity over CH4 and N2 | |
| dc.relation.relatedpublications | Revealing the effect of structure curations on the simulated CO2 separation performances of MOFs | |
| dc.relation.relatedpublications | Incorporation of a pyrrolidinium-based ionic liquid/MIL-101(Cr) composite into Pebax sets a new benchmark for CO2/N2 selectivity | |
| dc.relation.relatedpublications | Do new MOFs perform better for CO2 capture and H2 purification? computational screening of the updated MOF database | |
| dc.title | Computational Simulations of MOFs for Gas Separations | |
| dc.title.alternative | COSMOS | |
| dspace.entity.type | Project | |
| local.contributor.kuauthor | Keskin, Seda | |
| local.project.contractnumber | 756489 | |
| local.project.endDate | 2024-05-10 | |
| local.project.startDate | 2017-10-01 | |
| local.project.template | EC.H2020.EXLSCI.ERCSTA | |
| project.funder.identifier | EC-H2020 EUROPEAN COMMISSION | |
| project.funder.name | European Commission | |
| project.investigator | Keskin, Seda | |
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