Intelligent design of nanoporous adsorbents and catalysts
Provider: Grantová agentura ČR
Programme: Projekty na podporu excelence v základním výzkumu (řešení od 1.1.2012)
Implementation period: 01.01.12 - 31.12.18
Workplace:
Fakulta chemicko-technologická - Katedra fyzikální chemie
Investigator: Bulánek Roman
Description:
The goal of this project is the design and discovery of novel nanoporous materials for adsorption, catalysis, and bio-related applications. Zeolites, ordered mesoporous molecular sieves and metal-organic-frameworks will be investigated. Research will focus on the novel class of lamellar zeolites exhibiting both micro and mesoporosity. The proposed research strategy is based on the multi-disciplinary and multi-level approach: (i) the synthesis of novel materials followed by thorough characterization of their structures and properties and also modeling; (ii) tailored material design, preparation, testing, and applications. A combination of experimental techniques (diffraction, spectroscopy, microscopy, adsorption, etc.) with theoretical approaches will allow to extract relevant information based on which the research approach can be advanced from the trial and error level to rational design followed by preparation of new materials with optimized properties.
The goal of this project is the design and discovery of novel nanoporous materials for adsorption, catalysis, and bio-related applications. Zeolites, ordered mesoporous molecular sieves and metal-organic-frameworks will be investigated. Research will focus on the novel class of lamellar zeolites exhibiting both micro and mesoporosity. The proposed research strategy is based on the multi-disciplinary and multi-level approach: (i) the synthesis of novel materials followed by thorough characterization of their structures and properties and also modeling; (ii) tailored material design, preparation, testing, and applications. A combination of experimental techniques (diffraction, spectroscopy, microscopy, adsorption, etc.) with theoretical approaches will allow to extract relevant information based on which the research approach can be advanced from the trial and error level to rational design followed by preparation of new materials with optimized properties.
