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Zawartość zarchiwizowana w dniu 2024-05-30

An Optimised Genetic Algorithm to Computationally Predict a Metal-Organic Framework to Separate Helium from Methane

Cel

"Metal-Organic Frameworks (MOFs) are a class of inorganic-organic crystalline material with extremely high porosity, making them ideal substrates for the separation of gas mixtures by selective adsorption. The most significant barrier to the bottom-up design of a MOF for a given application is the combinatorial explosion of possible MOFs as the sheer number of chemical environments it is possible to create makes it highly unlikely that any naïve approach will locate a suitable one in any reasonable timeframe. The overall aim of this project is to develop a method to efficiently search the space of possible metal-organic framework structures and to use this to design a framework structure with user specified properties.
To this end, we propose an optimised genetic algorithm for the guided computational design of a metal-organic framework to separate helium from methane."

Dziedzina nauki (EuroSciVoc)

Program(-y)

Temat(-y)

Zaproszenie do składania wniosków

FP7-PEOPLE-2012-IIF
Zobacz inne projekty w ramach tego zaproszenia

System finansowania

MC-IIF - International Incoming Fellowships (IIF)

Koordynator

CONSTRUCTOR UNIVERSITY BREMEN GGMBH
Wkład UE
€ 161 968,80
Koszt całkowity
Brak danych