We introduce a mesoscopic model to predict the charge mobility of organic semiconductors characterized by a coexistence of crystalline and amorphous phases. First, we validate our scheme by reproducing the trends in charge mobility observed in thin films of poly(3-hexylthiophene) (P3HT) polymers. Next, we address the problem of predicting the morphologies that lead to the highest mobility. Our main finding is the identification of a region of the model's multidimensional parameter space, in which the charge mobility effectively depends on a single morphological feature: the average intercrystallite distance. This scaling behavior provides insight into the main physical mechanism limiting charge mobility in organic semiconductors. Our proposed framework can be adapted to study a wide class of polymeric systems and used to guide the manufacturing of new, high-performing organic semiconductor materials.

Segatta, F., Lattanzi, G., Faccioli, P. (2018). Predicting Charge Mobility of Organic Semiconductors with Complex Morphology. MACROMOLECULES, 51(21), 9060-9068 [10.1021/acs.macromol.8b01727].

Predicting Charge Mobility of Organic Semiconductors with Complex Morphology

Faccioli, Pietro
2018

Abstract

We introduce a mesoscopic model to predict the charge mobility of organic semiconductors characterized by a coexistence of crystalline and amorphous phases. First, we validate our scheme by reproducing the trends in charge mobility observed in thin films of poly(3-hexylthiophene) (P3HT) polymers. Next, we address the problem of predicting the morphologies that lead to the highest mobility. Our main finding is the identification of a region of the model's multidimensional parameter space, in which the charge mobility effectively depends on a single morphological feature: the average intercrystallite distance. This scaling behavior provides insight into the main physical mechanism limiting charge mobility in organic semiconductors. Our proposed framework can be adapted to study a wide class of polymeric systems and used to guide the manufacturing of new, high-performing organic semiconductor materials.
Articolo in rivista - Articolo scientifico
Organic Chemistry; Polymers and Plastics; Inorganic Chemistry; Materials Chemistry2506 Metals and Alloys
English
2018
51
21
9060
9068
none
Segatta, F., Lattanzi, G., Faccioli, P. (2018). Predicting Charge Mobility of Organic Semiconductors with Complex Morphology. MACROMOLECULES, 51(21), 9060-9068 [10.1021/acs.macromol.8b01727].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/405607
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