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Energies
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Advanced Materials and Devices for Energy Application
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Advanced Materials and Devices for Energy Application

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "D1: Advanced Energy Materials".

Deadline for manuscript submissions: closed (2 May 2022) | Viewed by 3785

Special Issue Editor

Prof. Dr. Baishakhi Mazumder

E-Mail Website
Guest Editor
Department of Materials Design and Innovation, School of Engineering and Applied Sciences, University at Buffalo, Buffalo, NY 14260, USA
Interests: Aatomic-scale structure chemistry analysis of advanced materials; structure-property correlation

Special Issue Information

Dear Colleagues,

Global demand for portable electronics and electric vehicles stimulates the development of energy storage devices (batteries, capacitors, etc.) toward higher power and energy density that significantly rely on the advancement of materials used in these devices. Additionally, energy storage materials significantly contribute to clean and renewable energy and have drawn intensive attention from research and development to industrialization. To realize the potential of energy technologies, radical advances in materials and devices are required.

This Special Issue will focus on experimental advances and theoretical developments in the field of energy storage materials, devices, and systems.

Topics of interest for publication include but are not limited to:

  • Energy storage system (thermal, mechanical, electrochemical, and hydrogen);
  • Advanced energy materials (semiconductors, superconductors, ceramics, etc.);
  • Carrier transport and computational;
  • Advanced characterization of energy materials;
  • Data science integration for advancing materials for energy application.

Prof. Dr. Baishakhi Mazumder
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

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. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • batteries
  • supercapacitors
  • hydrogen storage
  • perovskites
  • solar cell
  • oxides
  • data science
  • computational
  • advanced microscopies

Published Papers (2 papers)

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Research

13 pages, 1322 KiB  
Article
Active Knowledge Extraction from Cyclic Voltammetry
by Kiran Vaddi and Olga Wodo
Energies 2022, 15(13), 4575; https://doi.org/10.3390/en15134575 - 23 Jun 2022
Viewed by 1744
Abstract
Cyclic Voltammetry (CV) is an electro-chemical characterization technique used in an initial material screening for desired properties and to extract information about electro-chemical reactions. In some applications, to extract kinetic information of the associated reactions (e.g., rate constants and turn over frequencies), CV [...] Read more.
Cyclic Voltammetry (CV) is an electro-chemical characterization technique used in an initial material screening for desired properties and to extract information about electro-chemical reactions. In some applications, to extract kinetic information of the associated reactions (e.g., rate constants and turn over frequencies), CV curve should have a specific shape (for example an S-shape). However, often the characterization settings to obtain such curve are not known a priori. In this paper, an active search framework is defined to accelerate identification of characterization settings that enable knowledge extraction from CV experiments. Towards this goal, a representation of CV responses is used in combination with Bayesian Model Selection (BMS) method to efficiently label the response to be either S-shape or not S-shape. Using an active search with BMS oracle, we report a linear target identification in a six-dimensional search space (comprised of thermodynamic, mass transfer, and solution variables as dimensions). Our framework has the potential to be a powerful virtual screening technique for molecular catalysts, bi-functional fuel cell catalysts, and other energy conversion and storage systems. Full article
(This article belongs to the Special Issue Advanced Materials and Devices for Energy Application)
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18 pages, 5591 KiB  
Article
Optimal Discharge Parameters for Biomedical Surface Sterilization in Radiofrequency AR/O2 Plasma
by Samira Elaissi, Fatemah. H. Alkallas, Amira Ben Gouider Trabelsi, Lamia Abu El Maati and Kamel Charrada
Energies 2022, 15(4), 1589; https://doi.org/10.3390/en15041589 - 21 Feb 2022
Cited by 1 | Viewed by 1713
Abstract
Plasma parameters of radiofrequency discharge generated at low pressures in an argon-oxygen mixture addressed for biomedical surface sterilization have been optimized. Numerical results illustrate the density distributions of different species and electron temperatures during the electrical discharge process. The current discharge acting in [...] Read more.
Plasma parameters of radiofrequency discharge generated at low pressures in an argon-oxygen mixture addressed for biomedical surface sterilization have been optimized. Numerical results illustrate the density distributions of different species and electron temperatures during the electrical discharge process. The current discharge acting in the abnormal range decreases at higher oxygen gas flow rates. The temperature of electrons drops with pressure while it rises by adding oxygen. Nevertheless, electron density displays an adverse trend, exhibited by the electron’s temperature. The average particle density of the reactive species is enhanced in Ar/O2 compared to He/O2, which ensures a better efficiency of Ar/O2 in sterilizing bacteria than He/O2. The impact of oxygen addition on the discharge mixture reveals raised oxygen atom density and a reduction in metastable oxygen atoms. A pronounced production of oxygen atoms is achieved at higher frequency domains. This makes our findings promising for biomedical surface sterilization and leads to optimal parameter discharges used for sterilization being at 30% of oxygen gas ratio and 0.3 Torr pressure. Full article
(This article belongs to the Special Issue Advanced Materials and Devices for Energy Application)
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