Microfluidic-Assisted Blade Coating of Compositional Libraries for Combinatorial Applications: The Case of Organic Photovoltaics


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Date

2020-09-01

Publication Type

Journal Article

ETH Bibliography

yes

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Abstract

Microfluidic technologies are highly adept at generating controllable compositional gradients in fluids, a feature that has accelerated the understanding of the importance of chemical gradients in biological processes. That said, the development of versatile methods to generate controllable compositional gradients in the solid-state has been far more elusive. The ability to produce such gradients would provide access to extensive compositional libraries, thus enabling the high-throughput exploration of the parametric landscape of functional solids and devices in a resource-, time-, and cost-efficient manner. Herein, the synergic integration of microfluidic technologies is reported with blade coating to enable the controlled formation of compositional lateral gradients in solution. Subsequently, the transformation of liquid-based compositional gradients into solid-state thin films using this method is demonstrated. To demonstrate efficacy of the approach, microfluidic-assisted blade coating is used to optimize blending ratios in organic solar cells. Importantly, this novel technology can be easily extended to other solution processable systems that require the formation of solid-state compositional lateral gradients.

Publication status

published

Editor

Book title

Volume

10 (33)

Pages / Article No.

2001308

Publisher

Wiley-VCH

Event

Edition / version

Methods

Software

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Date collected

Date created

Subject

combinatorial screening; microfluidics; organic solar cells; Raman imaging; solution-processing

Organisational unit

03914 - deMello, Andrew / deMello, Andrew check_circle
08705 - Gruppe Pané Vidal check_circle

Notes

Funding

677020 - Microfluidic Crystal Factories (μ-CrysFact): a breakthrough approach for crystal engineering (EC)
181988 - Functional 2D porous crystalline materials (2DMats) (SNF)

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