Beyond the Status Quo: Density Functional Tight Binding and Neural Network Potentials as a Versatile Simulation...

Area of Science:

• Materials Science
• Computational Chemistry
• Nanotechnology

Background:

• Metal-organic frameworks (MOFs) are increasingly studied for their diverse applications.
• Simulating MOFs and guest@MOF systems requires advanced computational methods.
• Traditional force fields may not capture essential electronic effects like polarization.

Purpose of the Study:

• To present a simulation approach for studying MOFs and guest@MOF systems.
• To highlight the capabilities of SCC DFTB combined with constrained MD.
• To explore extensions for simulating covalent organic frameworks (COFs).

Main Methods:

• Utilized Self-Consistent Charge Density Functional Tight Binding (SCC DFTB) simulations.
• Employed constrained molecular dynamics (MD) protocols.
• Investigated systems including CO2, indigo, and drug molecules within MOFs.

Main Results:

• SCC DFTB with MD effectively simulates pristine MOFs and guest@MOF systems.
• The method accounts for polarization and many-body effects, surpassing force field limitations.
• Demonstrated applicability with various guest molecules and MOF hosts.

Conclusions:

• SCC DFTB coupled with MD offers a robust platform for MOF research.
• This approach provides accurate modeling of complex guest@MOF interactions.
• Future work includes extending the methodology to covalent organic frameworks using neural network potentials.