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Featured Review Papers in Applied Chemistry

A special issue of Molecules (ISSN 1420-3049).

Deadline for manuscript submissions: 30 September 2026 | Viewed by 1403

Special Issue Editor

Special Issue Information

Dear Colleagues,

The development of science and technology has provided many benefits. Chemistry is a field that has greatly contributed to this development. Applied chemistry covers a variety of chemical fields, considering various materials, including metal compounds, inorganic and organic compounds, polymers, and proteins, focusing on basic research and its applications.

This Special Issue is designed to gather review papers on the topic of applied chemistry. We invite and encourage all research groups working in various applied chemistry areas to contribute to this Special Issue.

Prof. Dr. Teobald Kupka
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 250 words) can be sent to the Editorial Office for assessment.

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

  • applied chemistry
  • new molecules and natural materials
  • analytical methods and techniques
  • electrochemistry and energy
  • biodegradable materials and medicines
  • environment and green chemistry
  • theoretical chemistry

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Published Papers (1 paper)

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Review

18 pages, 19109 KB  
Review
Artificial Intelligence for Perovskite Additive Engineering: From Molecular Screening to Autonomous Discovery
by Xin-De Wang, Zhi-Rui Chen, Wen-Kao Li, Peng-Jie Guo, Cheng Mu, Ze-Feng Gao and Zhong-Yi Lu
Molecules 2026, 31(3), 440; https://doi.org/10.3390/molecules31030440 - 27 Jan 2026
Viewed by 1018
Abstract
Additive engineering plays a crucial role in enhancing the performance of perovskite solar cells (PSCs), yet identifying suitable additives within the vast chemical space remains a significant challenge. This paper describes a paradigm shift in additive discovery from trial-and-error methods to AI-driven approaches. [...] Read more.
Additive engineering plays a crucial role in enhancing the performance of perovskite solar cells (PSCs), yet identifying suitable additives within the vast chemical space remains a significant challenge. This paper describes a paradigm shift in additive discovery from trial-and-error methods to AI-driven approaches. We first establish the physicochemical foundations of additive engineering and the descriptors commonly employed in machine learning algorithms. Next, we discuss intelligent process optimization, highlighting how active learning algorithms effectively tune complex precursor formulations with minimal experimental iterations. Additionally, we explore the role of AI in mechanism elucidation and the potential prospects of generative models in the field of additives. Finally, we emphasize the emerging trend of integrating large language models with autonomous laboratories for closed-loop autonomous discovery, offering a promising pathway to accelerate the commercialization of PSCs. Full article
(This article belongs to the Special Issue Featured Review Papers in Applied Chemistry)
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