Publication | Open Access
Multi-fidelity Bayesian optimization of covalent organic frameworks for xenon/krypton separations
34
Citations
111
References
2023
Year
EngineeringOrganic ChemistryMulti-fidelity Bayesian OptimizationComputational ChemistryChemistryMolecular DesignLarge Candidate SetChemical EngineeringSelective SeparationSeparation TechniqueAdvanced SeparationBiophysicsCovalent Bonded FrameworkQuantum ChemistryHost-guest ChemistryOrganic Material ChemistryNatural SciencesMolecule-based MaterialCovalent Organic Frameworks
We employ multi-fidelity Bayesian optimization to search a large candidate set of covalent organic frameworks (COFs) for the one with the largest [simulated] equilibrium adsorptive selectivity for xenon (Xe) over krypton (Kr) at room temperature.
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