journal article·2022-11-08Open access

Toward Ideal Metal–Organic Framework Thin-Film Growth via Automated Layer-by-Layer Deposition: Examples Based on Perylene Diimide Linkers

Subhadip Goswami, Martino Rimoldi, Ryther Anderson, Changmin Lee, Xinlin Li, Alice Li, Pravas Deria, Lin X. Chen, Richard D. Schaller, Diego A. Gómez-Gualdrón, Omar K. Farha, Joseph T. Hupp

Chemistry of Materials· Volume 34· Issue 21

Abstract

Photoactive metal–organic framework (MOF) thin films offer an opportunity for translating the advantages of periodic, crystalline, and tailorable light-harvesting materials directly into devices such as those for photoelectrochemical solar energy conversion. In this study, we report the fabrication of light-absorbing perylene-diimide-containing pillared-paddlewheel MOF thin films using an automated layer-by-layer (LbL) deposition technique. Our focus here is on optimizing the growth of representative chromophoric MOFs as oriented films of uniform and predefined thickness. Growth was examined as a function of metal identity, pillaring ligand composition, and supporting-surface chemical functionality. Application of atomic force microscopy (AFM) and complementary techniques revealed that the surface-supported MOFs initially display island-type film growth (Volmer–Weber growth), resulting in comparatively rough films. Further growth is accompanied by the merging of islands, resulting in films that, depending on experimental details, can be remarkably smooth (i.e., roughness on the order of ±1 nm (one structural repeat unit in the pillaring direction)). These details include the use of 1,4-diazabicyclo[2.2.2]octane (DABCO) as a MOF pillar and ALD-grown zinc oxide as a film support (ALD = atomic layer deposition). Also helpful for mitigating island-type growth, at least in part, is the replacement of Zn2+ by Cu2+ as the metal component of the MOF. Notably, each of these adjustments entails replacing weaker chemical bonds with stronger ones.
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Research context

OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Machine Learning in Materials Science · Nanoplatforms for cancer theranostics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

International Institute for Nanotechnology and Department of Chemistry, Northwestern University, 2145 Sheridan Road, Evanston, Illinois 60208, United States

Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, United States

School of Chemical and Biomolecular Science, Southern Illinois University, Carbondale, Illinois 62901, United States

Chemical Sciences and Engineering Division, Argonne National Laboratory, Lemont, Illinois 60437, United States

Center for Nanoscale Materials, Argonne National Laboratory, Lemont, Illinois 60439, United States

Funding

National Science Foundation · U.S. Department of Energy · Northwestern University

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