Published May 15, 2018 | Version v1
Dataset Open

In silico design of three-dimensional porous covalent organic frameworks via known synthesis routes and commercially available species

  • 1. Computational Research Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, USA
  • 2. Department of Chemical and Biomolecular Engineering, University of California, Berkeley, Berkeley, CA 94720, USA
  • 3. Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
  • 4. Institut des Sciences et Ingénierie Chimiques, École Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Laussane, Switzerland

* Contact person

Description

Covalent organic frameworks (COFs) are a class of advanced nanoporous polymeric materials which combine the crystallinity of metal–organic frameworks (MOFs) with the stability and potentially low-cost organic chemistry of porous polymer networks (PPNs). Like other advanced porous materials, COFs can potentially be designed to meet the needs of a variety of applications, from energy, to security, to human health. In this work, we construct in silico a database of hypothetical three-dimensional, crystalline COFs. In constructing this library we generate novel COFs using only established synthetic routes, previously utilized tetrahedral building units, and commercially available bridging "linker" molecules. This ensures that there are no known chemical barriers to synthesizing all materials in our database. We relaxed all materials in our database through semiempirical electronic structure calculations. In addition, for those structures that allow interpenetration, we designed interpenetrated versions of the basic structure. Then, we characterized the porosity of each of these structures. The final set of 4147 structures (based on 620 unique noninterpenetrated structures) and their computed properties are publicly available and can be screened to identify promising materials for a wide variety of applications. Here, we assess the suitability of our COFs for vehicular methane storage by performing molecular simulations to predict the equilibrium methane uptake.

Files

File preview

files_description.md

All files

Files (1.9 KiB)

Name Size
md5:44108f69001578c7b2ee496254cc739c
180 Bytes Preview Download
md5:d2dfbbd4f6dfffe80c53337f7ad00fe1
1.7 KiB Download

References

Journal reference
Martin, R. L.; Simon, C. M.; Medasani, B.; Britt, D. K.; Smit, B.; Haranczyk, M.; J. Phys. Chem. C, 2014, 118 (41), 23790-23802, doi: 10.1021/jp507152j