Advances in Machine-Learning-Assisted Nanomaterials: Applications in Simulation, Detection, Classification, and Imaging

Dear Colleagues,

Nanotechnology, defined as atomically precise engineering, comprises a broad spectrum of areas, from medicine to all engineering branches. Nanomaterials have recently brought substantial scientific, technological, and social development, driving science through intriguing and challenging routes. The most remarkable impacts are in medicine, electronics, sensors, energy production, and storage, besides environmental applications.

New technologies have allowed the synthesis of unique nanomaterials with increasingly varied and versatile properties. However, optimizing the preparation and characterization of these nanomaterials and their composites demands new tooling. In particular, machine learning (ML) models can bring unprecedented advantages to the classification process and even quantification of nanomaterials, even allowing the fine-tuning of their properties. Thus, this Special Issue of Materials is focused on nanomaterials, nanocomposites, their applications, and ML tools developed to assist in obtaining, classifying, quantifying, and understanding the properties of these materials.

Authoritative review articles and original research papers describing recent findings in advanced nanomaterials are expected to cover various topics. Potential topics include but are not limited to:

• Adsorption of contaminants;
• Amphiphilic surfaces;
• Cancer;
• Catalysts;
• Characterization techniques;
• Controlled drug release;
• Ferrites;
• Medicine;
• Neglected diseases;
• Pandemics, including COVID-19 and variants;
• Sensors;
• Silver and gold nanoparticles;
• Soil fertility;
• Top-down and bottom-up preparation of nanomaterials;
• Toxicity;
• Water treatment;
• Zeolites.

We hope that new ideas will promote the fast development of the exciting area of nanomaterials. We invite you to contribute to this Special Issue by submitting papers on your best research activities.

Prof. Dr. Shekhar Bhansali
Dr. Fernando Gomes de Souza Junior
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 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. Materials 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.