Encapsulated Electroactive Molecules Based upon an Inorganic Cluster Surrounded by Dendron Ligands

1997 ◽  
Vol 119 (5) ◽  
pp. 1141-1142 ◽  
Author(s):  
Christopher B. Gorman ◽  
Brandon L. Parkhurst ◽  
Wendy Y. Su ◽  
Kang-Yi Chen
2018 ◽  
Vol 54 (21) ◽  
pp. 2651-2654 ◽  
Author(s):  
Ettore Fazio ◽  
Cally J. E. Haynes ◽  
Gema de la Torre ◽  
Jonathan R. Nitschke ◽  
Tomás Torres

An unprecedented phthalocyanine-based, metallo-organic helicate (Fe2Pc3) has been assembled and proved as a host for large redox-active guests such as fullerenes and naphthalenediimides.


2017 ◽  
Vol 53 (86) ◽  
pp. 11755-11758 ◽  
Author(s):  
Yunlong Dai ◽  
Xianwen Kan

A selective and sensitive detection of non-electroactive and electroactive molecules has been achieved on a dual-template imprinted electrochemical sensor. And the proposed dual-signal strategy can be used for highly sensitive detection of electroactive analytes.


2021 ◽  
Author(s):  
Elif Sorkun ◽  
Qi Zhang ◽  
Abhishek Khetan ◽  
murat cihan sorkun ◽  
Süleyman Er

An increasing number of electroactive compounds have recently been explored for their use in high-performance redox flow batteries for grid-scale energy storage. Given the vast and highly diverse chemical space of the candidate compounds, it is alluring to access their physicochemical properties in a speedy way. High-throughput virtual screening approaches, which use powerful combinatorial techniques for systematic enumerations of large virtual chemical libraries and respective property evaluations, are indispensable tools for an agile exploration of the designated chemical space. Herein, RedDB: a computational database that contains 31,677 molecules from two prominent classes of organic electroactive compounds, quinones and aza-aromatics, has been presented. RedDB incorporates miscellaneous physicochemical property information of the compounds that can potentially be employed as battery performance descriptors. RedDB’s development steps, including: i)chemical library generation, ii) molecular property prediction based on quantum chemical calculations, iii) aqueous solubility prediction using machine learning, and iv) data processing and database creation, have been described.


Author(s):  
L. PIRAS ◽  
S. FENU ◽  
L. CIOTTI ◽  
M. COCCO ◽  
B. MECHERI ◽  
...  

2019 ◽  
Vol 7 (29) ◽  
pp. 8962-8968
Author(s):  
Antonio Muñoz ◽  
Laura Rodríguez-Pérez ◽  
Santiago Casado ◽  
Beatriz M. Illescas ◽  
Nazario Martín

New multivalent [60]fullerene hexakis-adducts endowed with 12 or 24 π-exTTF electron donor units interact supramolecularly with exfoliated graphene revealing an efficient electronic communication confirmed by Raman and XPS studies.


2013 ◽  
Vol 139 (20) ◽  
pp. 204703 ◽  
Author(s):  
R. Breitwieser ◽  
M. Marsault ◽  
V. Repain ◽  
J. Lagoute ◽  
C. Chacon ◽  
...  

1999 ◽  
Vol 102 (1-3) ◽  
pp. 1459-1460 ◽  
Author(s):  
E. Coronado ◽  
J.R. Galán-Mascarós ◽  
C.J. Gómez-García

2016 ◽  
Vol 22 (30) ◽  
pp. 10651-10660 ◽  
Author(s):  
Constanza Ruiz ◽  
Ángeles Monge ◽  
Enrique Gutiérrez-Puebla ◽  
Ibon Alkorta ◽  
José Elguero ◽  
...  

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