Building a consistent and reproducible database for adsorption evaluation in Covalent-Organic Frameworks

Authors: Daniele Ongari1*, Aliaksandr V. Yakutovich2, Leopold Talirz2, Berend Smit1

  1. Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1951 Sion, Valais, Switzerland
  2. Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1951 Sion, Valais, Switzerland and Laboratory of Molecular Simulation (LSMO), Institut des Sciences et Ingénierie Chimiques, Ecole Polytechnique Fédérale de Lausanne (EPFL), Rue de l'Industrie 17, CH-1951 Sion, Valais, Switzerland
  • Corresponding author email: daniele.ongari@epfl.ch

DOI10.24435/materialscloud:2019.0034/v2 (version v2, submitted on 02 December 2019)

How to cite this entry

Daniele Ongari, Aliaksandr V. Yakutovich, Leopold Talirz, Berend Smit, Building a consistent and reproducible database for adsorption evaluation in Covalent-Organic Frameworks, Materials Cloud Archive (2019), doi: 10.24435/materialscloud:2019.0034/v2.

Description

We present a workflow that traces the path from the bulk structure of a crystalline material to assessing its performance in carbon capture from coal’s postcombustion flue gases. This workflow is applied to a database of 324 covalent−organic frameworks (COFs) reported in the literature, to characterize their CO2 adsorption properties using the following steps:
(1) optimization of the crystal structure (atomic positions and unit cell) using density functional theory,
(2) fitting atomic point charges based on the electron density,
(3) characterizing the pore geometry of the structures before and after optimization,
(4) computing carbon dioxide and nitrogen isotherms using grand canonical Monte Carlo simulations with an empirical interaction potential, and finally,
(5) assessing the CO2 parasitic energy via process modeling.

The full workflow has been encoded in the Automated Interactive Infrastructure and Database for Computational Science (AiiDA). Both the workflow and the automatically generated provenance graph of our calculations are made available on the Materials Cloud, allowing peers to inspect every input parameter and result along the workflow, download structures and files at intermediate stages, and start their research right from where this work has left off. In particular, our set of CURATED (Clean, Uniform, and Refined with Automatic Tracking from Experimental Database) COFs, having optimized geometry and high-quality DFT-derived point charges, are available for further investigations of gas adsorption properties. We plan to update the database as new COFs are being reported.

*** UPDATE December 2019 ***
- Database extended to include 417 COFs (from paper published until the 1st September 2019)
- Migration to AiiDA-v1.0.0
- Using the publicly available plugin aiida-lsmo

Materials Cloud sections using this data

Files

File name Size Description
cifs_cellopt_Dec19.zip
MD5MD5: 7480cf066681ac761da4ca7749186580
485.4 KiB CIF files with DFT-optimized coordinates/unit cell and atomic DDEC charges.
cofs_export_Dec19.aiida
MD5MD5: 926267e470070fee94dd97a7df5392d1
1.2 GiB AiiDA provenance graph exported using aiida-core 1.0.0

License

Files and data are licensed under the terms of the following license: Creative Commons Attribution 4.0 International.

External references

Journal reference (Paper in which the method is described.)
D.Ongari, A. V. Yakutovich, L. Talirz, B. Smit, ACS Central Science 5, 1663-1675 (2019) doi:10.1021/acscentsci.9b00619
Software (AiiDA work chains used in this work, compatible with aiida-core >= 1.0.0)

Keywords

MARVEL covalent-organic-framework Reproducibility AiiDA Workflows

Version history

02 December 2019 [This version]

25 June 2019