Literature DB >> 33598958

Quantitative Prediction of the Electro-Mechanical Response in Organic Crystals.

Alessandro Landi1, Andrea Peluso1, Alessandro Troisi2.   

Abstract

Organic semiconductors' inherent flexibility makes them appealing for advanced applications such as wearable electronics, e-skins, or pressure sensors, and can even be used to enhance their intrinsic electronic properties. Unfortunately, these applications for organic materials are currently hindered by the lack of a quantitative understanding of the interplay between their electrical and mechanical properties. In this work, this gap is filled by presenting an accurate methodology able to predict quantitatively the effects of external deformation on the charge transport properties of any organic semiconductors. Three prototypical materials are investigated, showing that the experimental variation of charge carrier mobility with strain is fully reproduced, even in a wide range of deformations applied along different crystal axes. The results indicate that the intrinsic electro-mechanical response of the materials varies by orders of magnitude within the class of organic semiconductors, a difference rationalized observing that the mobility trend is primarily influenced by the transfer integrals' variation, rather than by a modification of the crystal phonons. In light of its robustness, accuracy, and low computational cost, this protocol represents an ideal tool to quantify the electro-mechanical response in new organic compounds, thus establishing a reliable route for a full exploitation of strain engineering in advanced technologies.
© 2021 Wiley-VCH GmbH.

Keywords:  charge mobility; electro-mechanical properties; flexible electronics; strain

Year:  2021        PMID: 33598958     DOI: 10.1002/adma.202008049

Source DB:  PubMed          Journal:  Adv Mater        ISSN: 0935-9648            Impact factor:   30.849


  4 in total

1.  Paper-Strip-Based Sensors for H2S Detection: A Proof-of-Principle Study.

Authors:  Maria Strianese; Viktoriia Vykhovanets; Naym Blal; Daniela Guarnieri; Alessandro Landi; Marina Lamberti; Andrea Peluso; Claudio Pellecchia
Journal:  Sensors (Basel)       Date:  2022-04-21       Impact factor: 3.847

2.  Organic materials repurposing, a data set for theoretical predictions of new applications for existing compounds.

Authors:  Ömer H Omar; Tahereh Nematiaram; Alessandro Troisi; Daniele Padula
Journal:  Sci Data       Date:  2022-02-14       Impact factor: 6.444

3.  Light-responsive self-strained organic semiconductor for large flexible OFET sensing array.

Authors:  Mingliang Li; Jing Zheng; Xiaoge Wang; Runze Yu; Yunteng Wang; Yi Qiu; Xiang Cheng; Guozhi Wang; Gang Chen; Kefeng Xie; Jinyao Tang
Journal:  Nat Commun       Date:  2022-08-20       Impact factor: 17.694

4.  Mechanoelectric Response of Single-Crystal Rubrene from Ab Initio Molecular Dynamics.

Authors:  Jan Elsner; Samuele Giannini; Jochen Blumberger
Journal:  J Phys Chem Lett       Date:  2021-06-17       Impact factor: 6.475

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.