The Devil Is in the\nDetails: Pitfalls and Ambiguities\nin the Analysis of X‑ray Powder Diffraction Data of 2D Covalent\nOrganic Frameworks

X-ray powder diffraction (XRPD) data of covalent organic\nframeworks\n(COFs) seem to be simple and apparently do not contain a lot of structural\ninformation, as these patterns usually do not show more than 3–5\ndistinguishable Bragg peaks. As COFs are inherently complex materials\n exhibiting a variety of disorder phenomena like stacking faults,\nlayer curving, or disordered solvent molecules populating the pores,\nthe interpretation of XRPD patterns is far from being trivial. Here\nwe emphasize the critical need for precision and caution in XRPD data\nacquisition, refinement, and interpretation to avoid common pitfalls\nand overinterpretations in data analysis. This perspective serves\nas a comprehensive guide, educating the community on the nuances of\nrefinement processes necessary for advancing COF research with clarity\nand accuracy.

Publication Details

Journal
Figshare
Published
2024-12-23
DOI
https://doi.org/10.1021/jacsau.4c00979.s001
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Devil Is in the\nDetails: Pitfalls and Ambiguities\nin the Analysis of X‑ray Powder Diffraction Data of 2D Covalent\nOrganic Frameworks

Figshare
Covalent Organic Framework Applications
article

The Devil Is in the\nDetails: Pitfalls and Ambiguities\nin the Analysis of X‑ray Powder Diffraction Data of 2D Covalent\nOrganic Frameworks

article en

Abstract

X-ray powder diffraction (XRPD) data of covalent organic\nframeworks\n(COFs) seem to be simple and apparently do not contain a lot of structural\ninformation, as these patterns usually do not show more than 3–5\ndistinguishable Bragg peaks. As COFs are inherently complex materials\n exhibiting a variety of disorder phenomena like stacking faults,\nlayer curving, or disordered solvent molecules populating the pores,\nthe interpretation of XRPD patterns is far from being trivial. Here\nwe emphasize the critical need for precision and caution in XRPD data\nacquisition, refinement, and interpretation to avoid common pitfalls\nand overinterpretations in data analysis. This perspective serves\nas a comprehensive guide, educating the community on the nuances of\nrefinement processes necessary for advancing COF research with clarity\nand accuracy.

Figshare
Openalex Percentile: Top 78%
Covalent Organic Framework Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.