Summary
Computational modelling of molecules and materials has had a great impact
on understanding experimental observations and suggesting new routes for
development. A prominent example are chemical reactions where modelling allows
one to follow the motion of atoms and to obtain a detailed insight into the process.
To model chemical reactions, quantum mechanics for electrons is needed
and currently the most widely used method for this task is Kohn-Sham
density functional theory (DFT). DFT is exact in principle, but in practice,
different approximations are made. These approximations affect the accuracy
of description of both strong intramolecular forces (chemical bonds)
and weaker intermolecular interactions (e.g., van der Waals forces).
If the errors are significant, one can obtain misleading results.
Systems where an accurate description of both strong and weak forces
is crucial are molecules in porous materials, such as zeolites.
Zeolites are important industrial catalysts and also perspective materials
for gas separation. During the catalytic process, molecules interact
first weakly with the zeolite before chemical reaction takes place.
Therefore, if we want to further improve the function of porous materials
or develop new ones with desired chemical activity, we need to be able to
model reliably both strong and weak forces.
It is the goal of this project to develop new reliable methods that will
enable the development of new materials. This goal will be accomplished
by combining state-of-the-art DFT approximations for modelling strong
and weak interactions and implementing promising schemes recently proposed.
Using the expertise of the host group, we will use data available for zeolites
and molecules in zeolites to validate the methods and understand their accuracy.
The ability to model reliably processes in porous materials will have a large
impact on the development of materials in a range of fields, including
materials for solving future energy needs.
on understanding experimental observations and suggesting new routes for
development. A prominent example are chemical reactions where modelling allows
one to follow the motion of atoms and to obtain a detailed insight into the process.
To model chemical reactions, quantum mechanics for electrons is needed
and currently the most widely used method for this task is Kohn-Sham
density functional theory (DFT). DFT is exact in principle, but in practice,
different approximations are made. These approximations affect the accuracy
of description of both strong intramolecular forces (chemical bonds)
and weaker intermolecular interactions (e.g., van der Waals forces).
If the errors are significant, one can obtain misleading results.
Systems where an accurate description of both strong and weak forces
is crucial are molecules in porous materials, such as zeolites.
Zeolites are important industrial catalysts and also perspective materials
for gas separation. During the catalytic process, molecules interact
first weakly with the zeolite before chemical reaction takes place.
Therefore, if we want to further improve the function of porous materials
or develop new ones with desired chemical activity, we need to be able to
model reliably both strong and weak forces.
It is the goal of this project to develop new reliable methods that will
enable the development of new materials. This goal will be accomplished
by combining state-of-the-art DFT approximations for modelling strong
and weak interactions and implementing promising schemes recently proposed.
Using the expertise of the host group, we will use data available for zeolites
and molecules in zeolites to validate the methods and understand their accuracy.
The ability to model reliably processes in porous materials will have a large
impact on the development of materials in a range of fields, including
materials for solving future energy needs.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/658705 |
| Start date: | 01-04-2015 |
| End date: | 31-03-2017 |
| Total budget - Public funding: | 154 720,80 Euro - 154 720,00 Euro |
Cordis data
Original description
Computational modelling of molecules and materials has had a great impacton understanding experimental observations and suggesting new routes for
development. A prominent example are chemical reactions where modelling allows
one to follow the motion of atoms and to obtain a detailed insight into the process.
To model chemical reactions, quantum mechanics for electrons is needed
and currently the most widely used method for this task is Kohn-Sham
density functional theory (DFT). DFT is exact in principle, but in practice,
different approximations are made. These approximations affect the accuracy
of description of both strong intramolecular forces (chemical bonds)
and weaker intermolecular interactions (e.g., van der Waals forces).
If the errors are significant, one can obtain misleading results.
Systems where an accurate description of both strong and weak forces
is crucial are molecules in porous materials, such as zeolites.
Zeolites are important industrial catalysts and also perspective materials
for gas separation. During the catalytic process, molecules interact
first weakly with the zeolite before chemical reaction takes place.
Therefore, if we want to further improve the function of porous materials
or develop new ones with desired chemical activity, we need to be able to
model reliably both strong and weak forces.
It is the goal of this project to develop new reliable methods that will
enable the development of new materials. This goal will be accomplished
by combining state-of-the-art DFT approximations for modelling strong
and weak interactions and implementing promising schemes recently proposed.
Using the expertise of the host group, we will use data available for zeolites
and molecules in zeolites to validate the methods and understand their accuracy.
The ability to model reliably processes in porous materials will have a large
impact on the development of materials in a range of fields, including
materials for solving future energy needs.
Status
CLOSEDCall topic
MSCA-IF-2014-EFUpdate Date
28-04-2024
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