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Jonathan Rivnay

Researcher at Northwestern University

Publications -  157
Citations -  18945

Jonathan Rivnay is an academic researcher from Northwestern University. The author has contributed to research in topics: Organic electrochemical transistor & PEDOT:PSS. The author has an hindex of 57, co-authored 128 publications receiving 14235 citations. Previous affiliations of Jonathan Rivnay include Mines Saint-Etienne & PARC.

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A general relationship between disorder, aggregation and charge transport in conjugated polymers

TL;DR: In this article, a unified model of how charge carriers travel in conjugated polymer films is proposed, and it is shown that in high-molecular-weight polymers, efficient charge transport is allowed due to a network of interconnected aggregates that are characterized by short-range order.
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Materials and applications for large area electronics: solution-based approaches.

TL;DR: This work focuses on Organic Electronics Materials, which consist of Organic Transistors, Polymer Semiconductors, and Poly(3,2-b)thiophenes, and investigates the role of bias stress in these materials.
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Quantitative determination of organic semiconductor microstructure from the molecular to device scale.

TL;DR: The authors would like to thank M. Chabinyc, H. Ade, B. Noriega, K. Vandewal, and D. Duong for fruitful discussions in the preparation of this review and the Center for Advanced Molecular Photovoltaics for funding.
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High transconductance organic electrochemical transistors.

TL;DR: This work presents organic electrochemical transistors with a transconductance in the mS range, outperforming transistors from both traditional and emerging semiconductors.
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Multi-phase microstructures drive exciton dissociation in neat semicrystalline polymeric semiconductors

TL;DR: In this paper, the authors studied how changes in the structural features of poly(3-hexylthiophene (P3HT) polymers affect exciton dissociation processes and concluded that excitons in disordered regions between crystalline and amorphous phases dissociate extrinsically with yield and spatial distribution.