Molecular packing and charge transport parameters in crystalline organic semiconductors from first-principles calculations

2010 ◽  
Vol 12 (32) ◽  
pp. 9381 ◽  
Author(s):  
J. C. Sancho-García ◽  
A. J. Pérez-Jiménez ◽  
Y. Olivier ◽  
J. Cornil
2021 ◽  
Author(s):  
H. R. Mahida ◽  
Deobrat Singh ◽  
Yogesh Sonvane ◽  
Sanjeev K. Gupta ◽  
P. B. Thakor ◽  
...  

In the present study, we have investigated the structural, electronic, and charge transport properties of pristine, hydrogenated, and oxidized Si2BN monolayers via first-principles calculations based on density functional theory (DFT).


2014 ◽  
Vol 188 ◽  
pp. 146-155 ◽  
Author(s):  
Caibin Zhao ◽  
Yalu Guo ◽  
Lin Guan ◽  
Hongguang Ge ◽  
Shiwei Yin ◽  
...  

2014 ◽  
Vol 43 (8) ◽  
pp. 2662 ◽  
Author(s):  
Zhigang Shuai ◽  
Hua Geng ◽  
Wei Xu ◽  
Yi Liao ◽  
Jean-Marie André

2006 ◽  
Vol 128 (30) ◽  
pp. 9882-9886 ◽  
Author(s):  
Edward F. Valeev ◽  
Veaceslav Coropceanu ◽  
Demetrio A. da Silva Filho ◽  
Seyhan Salman ◽  
Jean-Luc Brédas

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Christian Kunkel ◽  
Johannes T. Margraf ◽  
Ke Chen ◽  
Harald Oberhofer ◽  
Karsten Reuter

AbstractThe versatility of organic molecules generates a rich design space for organic semiconductors (OSCs) considered for electronics applications. Offering unparalleled promise for materials discovery, the vastness of this design space also dictates efficient search strategies. Here, we present an active machine learning (AML) approach that explores an unlimited search space through consecutive application of molecular morphing operations. Evaluating the suitability of OSC candidates on the basis of charge injection and mobility descriptors, the approach successively queries predictive-quality first-principles calculations to build a refining surrogate model. The AML approach is optimized in a truncated test space, providing deep methodological insight by visualizing it as a chemical space network. Significantly outperforming a conventional computational funnel, the optimized AML approach rapidly identifies well-known and hitherto unknown molecular OSC candidates with superior charge conduction properties. Most importantly, it constantly finds further candidates with highest efficiency while continuing its exploration of the endless design space.


2018 ◽  
Vol 20 (19) ◽  
pp. 13171-13177 ◽  
Author(s):  
Dongfeng Dang ◽  
Pei Zhou ◽  
Yong Wu ◽  
Yanzi Xu ◽  
Ying Zhi ◽  
...  

Isomeric TF1 and TF2 with fused-thiophene cores were developed to investigate their molecular packing properties, liquid crystalline properties and also charge transfer properties.


IUCrJ ◽  
2017 ◽  
Vol 4 (5) ◽  
pp. 695-699 ◽  
Author(s):  
Huipeng Ma ◽  
Shuo Chai ◽  
Dengyi Chen ◽  
Jin-Dou Huang

Based on first-principles calculations, the relationship between molecular packing and charge-transport parameters has been investigated and analysed in detail. It is found that the crystal packing forces in the flexible organic molecule 4-(1,2,2-triphenylvinyl)aniline salicylaldehyde hydrazone (A) can apparently overcome the dynamic intramolecular rotations and the intramolecular steric repulsion, effectively enhancing the molecular rigidity and decreasing the internal reorganization energy. The conducting properties ofAhave also been simulated within the framework of hopping models, and the calculation results show that the intrinsic electron mobility inAis much higher than the corresponding intrinsic hole mobility. These theoretical investigations provide guidance for the efficient and targeted control of the molecular packing and charge-transport properties of organic small-molecule semiconductors and conjugated polymeric materials.


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