Recent Advances in Perovskite Based Materials
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Materials Chemistry".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 230
Special Issue Editors
Interests: optoelectronic; density functional theory; ferroelectricity; piezoelectricity; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: perovskites; first-principles calculations; electronic structure; excitonic effects; molecular dynamics; thermoelectricity
Interests: first-principles calculations; atomically dispersed catalysts; ferroelectricity; electronic structure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Perovskite-based materials have been widely researched and applied in ferroelectric, piezoelectric, and optoelectronic fields due to their broadly tunable structures and diverse compositions. The unique properties of perovskite-based materials have made them promising candidates for a wide range of applications, and the exploration of their potential has attracted significant attention from the scientific community.
This Special Issue, titled “Recent Advances in Perovskite-Based Materials”, aims to assemble high-quality original research, reviews, and perspectives focused on the advances in perovskite-based materials. The scope of this Special Issue includes, but is not limited to, the following:
- Novel material synthesis and innovative preparation methods;
- Structure and property characterization;
- Device applications;
- Theoretical studies, such as material prediction and design (machine learning, high-throughput screening, etc.) and property mechanism explanations.
We encourage submissions that cover various aspects of perovskite-based materials, from the synthesis of new materials and the development of advanced preparation methods to the characterization of their structures and properties, as well as their applications in devices. Furthermore, we welcome theoretical studies that focus on material prediction and design, utilizing techniques such as machine learning and high-throughput screening, as well as investigations into the underlying mechanisms governing the property of perovskite-based materials.
Dr. Gang Tang
Dr. Hongxia Zhong
Dr. Peng Lv
Guest Editors
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. Molecules 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 2700 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
- perovskite semiconductor
- optoelectronic
- ferroelectric
- machine learning
- first-principles calculations
