Molecular Electronics and Nanoelectronics for Quantum Materials

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Materials Processes".

Deadline for manuscript submissions: 17 December 2025 | Viewed by 312

Special Issue Editors


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Guest Editor
Physics Department, The University of Utah, Salt Lake City, UT 84112, USA
Interests: material physics/molecular nanoelectronics and nanotechnologies; low-dimensional and hybrid materials; epitaxy and SAM technologies; device physics; quantum materials; sensors; superconductors

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Guest Editor
Departamento de Química, Universidad Catolica del Norte, Antofagasta, Av. Angamos 0610, Antofagasta 1270709, Chile
Interests: materials science; inorganic chemistry; solid-state chemistry; photoluminescent processes; energy transfers; design; synthesis and characterization; photoelectrochemical solar cells; photovoltaic; LED

Special Issue Information

Dear Colleagues,

The study and design of materials for molecular electronics and nanoelectronics as quantum materials represent a burgeoning technological frontier. This field encompasses the science and technology involved in understanding, designing, and producing electronic devices that leverage these properties. By exploring the interactions at metal–molecule–semiconductor junctions and other solid-state phenomena, researchers aim to advance our knowledge and capabilities in electronics. These advancements are poised to propel future computer technology well beyond the constraints of silicon, potentially revolutionizing the capabilities of electronic devices and systems.

We welcome contributions to the Special Issue “Molecular Electronics and Nanoelectronics for Quantum Materials” in Processes. Researchers and practitioners from various aspects of materials science are encouraged to submit papers that can further the understanding and practical applications of these advanced materials. Topics of interest include, but are not limited to, developments in molecular electronics, nanoelectronics, and the study of quantum materials. This Special Issue provides a platform for disseminating innovative research, fostering collaboration, and driving the technological innovations needed to push the forefront of electronic device capabilities.

Dr. Vladimir Burtman
Dr. Dario Espinoza
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • molecular electronics
  • nanoelectronics
  • quantum materials
  • metal–molecule–semiconductor junctions
  • materials science
  • semiconductors
  • solid state

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Published Papers (1 paper)

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Research

12 pages, 1178 KiB  
Article
Identifying Clean and Contaminated Atomic-Sized Gold Contacts Under Ambient Conditions Using a Clustering Algorithm
by Guillem Pellicer and Carlos Sabater
Processes 2025, 13(7), 2061; https://doi.org/10.3390/pr13072061 (registering DOI) - 29 Jun 2025
Abstract
Molecular electronics studies have advanced from early, simple single-molecule experiments at cryogenic temperatures to complex and multifunctional molecules under ambient conditions. However, room-temperature environments increase the risk of contamination, making it essential to identify and quantify clean and contaminated rupture traces (i.e., conductance [...] Read more.
Molecular electronics studies have advanced from early, simple single-molecule experiments at cryogenic temperatures to complex and multifunctional molecules under ambient conditions. However, room-temperature environments increase the risk of contamination, making it essential to identify and quantify clean and contaminated rupture traces (i.e., conductance versus relative electrode displacement) within large datasets. Given the high throughput of measurements, manual analysis becomes unfeasible. Clustering algorithms offer an effective solution by enabling the automatic classification and quantification of contamination levels. Despite the rapid development of machine learning, its application in molecular electronics remains limited. In this work, we present a methodology based on the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm to extract representative traces from both clean and contaminated regimes, providing a scalable and objective tool to evaluate environmental contamination in molecular junction experiments. Full article
(This article belongs to the Special Issue Molecular Electronics and Nanoelectronics for Quantum Materials)
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