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Orientational Transition in a Liquid Crystal Triggered by the Thermodynamic Growth of Interfacial Wetting Sheets
Published on: May 15, 2017
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Conductance Switching in Liquid Crystal-Inspired Self-Assembled Monolayer Junctions
Julian M Dlugosch1, Henning Seim2, Achyut Bora1
1Molecular Electronics, Technical University of Munich, Hans-Piloty-Straße 1, 85748 Garching, Germany.
ACS Applied Materials & Interfaces
|July 1, 2022
Summary
We developed a novel ferroelectric tunnel junction (FTJ) using organic molecules. This molecular switch demonstrates robust, reversible conductance changes for potential use in advanced computing.
Area of Science:
- Materials Science
- Molecular Electronics
- Nanotechnology
Background:
- Ferroelectric tunnel junctions (FTJs) are crucial for advanced electronics.
- Existing FTJs often rely on inorganic materials, limiting functional complexity.
- Developing novel FTJ architectures is essential for next-generation data storage.
Purpose of the Study:
- To present a prototype ferroelectric tunnel junction (FTJ) based on self-assembled monolayers (SAMs) of functional organic molecules.
- To demonstrate the electrically switchable behavior of these molecular SAMs as tunnel barriers.
- To explore the potential of this organic FTJ for information storage and neuromorphic computing.
Main Methods:
- Fabrication of Al/Al2O3/SAM/Pb/Ag stacks utilizing SAMs of small, functional molecules.
- Characterization of device performance, including conductance switching and hysteresis.
- Analysis of the switching mechanism using quantum chemistry, molecular dynamics, and tunneling resistance calculations.
Main Results:
- Demonstrated a thin (3.4 ± 0.5 nm), uniform SAM-based tunnel barrier.
- Observed pronounced hysteretic, reversible conductance switching at ±2-3 V with a high/low resistance ratio up to 100.
- Confirmed the switching mechanism through theoretical calculations.
Conclusions:
- Organic molecule-based SAMs offer a versatile platform for creating functional FTJs.
- This approach allows for high functional complexity and simple, robust fabrication.
- The developed FTJ technology shows promise for in-memory and neuromorphic computing applications.
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