Funding Information Identifier: 358283783 - SFB 1333
Keyword Term: Covalent Organic Framework
Data Generation: Experiment
1 to 3 of 3 Results
Aug 2, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF
Maschita, Johannes; Banerjee, Tanmnay; Lotsch, Bettina V., 2023, "Replication data of Lotsch group for: "Direct and Linker-Exchange Alcohol-Assisted Hydrothermal Synthesis of Imide-Linked Covalent Organic Frameworks"", https://doi.org/10.18419/darus-2777, DaRUS, V1, UNF:6:JpoGE3mNSdR4fNCRgNQIxQ== [fileUNF]
Covalent organic frameworks (COFs) are an extensively studied class of porous materials, which distinguish themselves from other porous polymers in their crystallinity and high degree of modularity, enabling a wide range of applications. However, the established synthetic protoco... |
Jul 18, 2023 - SFB 1333 A3 - Lotsch group, MPI-FKF
Trenker, Stefan; Grunenberg, Lars; Banerjee, Tanmay; Savasci, Gökcen; Poller, Laura M.; Muggli, Katharina I. M.; Haase, Frederik; Ochsenfeld, Christian; Lotsch, Bettina, 2023, "Replication Data for: "A flavin-inspired covalent organic framework for photocatalytic alcohol oxidation"", https://doi.org/10.18419/darus-2244, DaRUS, V1
Covalent organic frameworks (COFs) offer a number of key properties that predestine them to be used as heterogeneous photocatalysts, including intrinsic porosity, long-range order, and light absorption. Since COFs can be constructed from a practically unlimited library of organic... |
Apr 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Kessler, Christopher; Schuldt, Robin; Emmerling, Sebastian; Lotsch, Bettina; Kästner, Johannes; Gross, Joachim; Hansen, Niels, 2022, "Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study'", https://doi.org/10.18419/darus-2308, DaRUS, V1, UNF:6:ifmtNZEZHi+MkSvB5rd1dw== [fileUNF]
This dataset contains results from Grand Canonical Monte Carlo (GCMC) Simulation (data/isotherms_sim/) and experiment (data/isotherms/exp). All Data is presented in a jupyter notebook and for a fast overview without executing the notebook also as pdf-file. Furthermore the dataset... |