Light and Cation-Driven Optical Switch based on a Stilbene-Appended Terpyridine System for the Design of Molecular-Scale Logic Devices-Reference-Cited by-同舟云学术

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Light and Cation-Driven Optical Switch based on a Stilbene-Appended Terpyridine System for the Design of Molecular-Scale Logic Devices

Published:2021-09-10 Issue:37 Volume:125 Page:8261-8273
ISSN:1089-5639
Container-title:The Journal of Physical Chemistry A
language:en
Short-container-title:J. Phys. Chem. A

Author:

Mukherjee Shruti¹,Sahoo Anik¹,Deb Sourav¹,Baitalik Sujoy¹^ORCID

Affiliation:

1. Inorganic Chemistry Section, Department of Chemistry, Jadavpur University, Kolkata 700032, India

Funder

Council of Scientific and Industrial Research, India

Science and Engineering Research Board

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

American Chemical Society (ACS)

Subject

Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpca.1c06524

Reference73 articles.

1. A molecular photoionic AND gate based on fluorescent signalling

2. Taking baby steps in molecular logic-based computation

3. Molecular-Scale Logic Gates

4. Molecular Logic Gate Arrays

5. Combining luminescence, coordination and electron transfer for signalling purposes

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1. Fabrication of molecular-scale logic devices and implication of artificial neural networks for analysis of anion-responsive behaviors of luminescent ruthenium-terpyridine complex;Inorganica Chimica Acta;2024-10

2. Advancing Molecular-Scale Logic Devices through Multistage Switching in a Luminescent Bimetallic Ru(II)-Terpyridine Complex;Inorganic Chemistry;2024-08-02

3. Decoding the commutable first hyperpolarisability of keto–enol tautomer using DFT and AI-based soft computing method;Molecular Simulation;2024-05-25

4. Progress in design and applications of supramolecular assembly of 2,2′:6′,2″-terpyridine-based first row d-block elements;Coordination Chemistry Reviews;2024-05

5. A fluorescence based dual sensor for Zn²⁺ and PO₄³⁻ and the application of soft computing methods to predict machine learning outcomes;Physical Chemistry Chemical Physics;2024

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