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Electronic Materials, Volume 4, Issue 2

June 2023 - 4 articles

Cover Story: The behavior of materials often escapes models. While sensors calibrate models, algorithms treat physical outputs as data to learn finding one. As the behavior of organic semiconductors’ is often complex, the physical approach entangles their use in sensors to confirm what can be modeled and hinders the benefits of their full potential when treated as a data generator. The PEDOT:PSS conducting polymer is not selective; however, multivariate data analysis succeeds in recognizing its ion fingerprints on an electrochemical transistor. One material on one device suffices to cluster cations in water, allowing for the use of microsensors’ full performances where a multi-material approach is unfeasible, and understanding them by using up-to-date data-driven algorithms to unravel that properties that are not yet theorized. View this paper

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Article

1 Citations

2,140 Views

15 Pages

Exploring the Impact of Fe-Implantation on the Electrical Characteristics of Al/p-Si Schottky Barrier Diodes

Joseph Oluwadamilola Bodunrin,
Duke Ateyh Oeba and
Sabata Jonas Moloi

Electron. Mater.2023, 4(2), 95-109;https://doi.org/10.3390/electronicmat4020008

16 June 2023

The effects of Fe-implantation on the electrical characteristics of Au/p-Si Schottky barrier diodes (SBDs) were studied using current–voltage (I–V) and capacitance–voltage (C–V) techniques. The Rutherford Backscattering Spectr...

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Article

2 Citations

3,062 Views

15 Pages

A Neural Network to Decipher Organic Electrochemical Transistors’ Multivariate Responses for Cation Recognition

Sébastien Pecqueur,
Dominique Vuillaume,
Željko Crljen,
Ivor Lončarić and
Vinko Zlatić

Electron. Mater.2023, 4(2), 80-94;https://doi.org/10.3390/electronicmat4020007

18 May 2023

Extracting relevant data from real-world experiments is often challenging with intrinsic materials and device property dispersion, such as in organic electronics. However, multivariate data analysis can often be a mean to circumvent this and to extra...

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Article

2 Citations

2,776 Views

18 Pages

Modelling of Low-Voltage Varistors’ Responses under Slow-Front Overvoltages

Lutendo Muremi,
Pitshou N. Bokoro and
Wesley Doorsamy

Electron. Mater.2023, 4(2), 62-79;https://doi.org/10.3390/electronicmat4020006

9 May 2023

In this study, commercially low-voltage MOVs are exposed to switching surges to analyse and model the relationship between the number of surges and the MOV grain barrier height response. Repeated slow-front overvoltage transients are used to degrade...

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Perspective

7 Citations

5,514 Views

13 Pages

On-Surface Synthesis and Applications of 2D Covalent Organic Framework Nanosheets

Jinwei Fan,
Zhuoqun Wang,
Haoge Cheng,
Dingguan Wang and
Andrew Thye Shen Wee

Electron. Mater.2023, 4(2), 49-61;https://doi.org/10.3390/electronicmat4020005

12 April 2023

Covalent organic framework nanosheets (COF nanosheets) are two-dimensional crystalline porous polymers with in-plane covalent bonds and out-of-plane Van der Waals forces. Owing to the customizable structure, chemical modification, and ultra-high poro...

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