An Optimised Genetic Algorithm to Computationally Predict a Metal-Organic Framework to Separate Helium from Methane
(GA MOF)
Start date: Mar 1, 2013,
End date: Feb 28, 2015
PROJECT
FINISHED
"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."
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Coordinator
JACOBS UNIVERSITY BREMEN GGMBH
€ 161 968,80- Ronald Kieschnick
- Campus Ring 1 28759 BREMEN (Germany)
Details
- 100% € 161 968,80
-
FP7-PEOPLE
- Project on CORDIS Platform