Machine Learning in Green Chemistry
A special issue of Molecules (ISSN 1420-3049). This special issue belongs to the section "Green Chemistry".
Deadline for manuscript submissions: 31 August 2024 | Viewed by 1258
Special Issue Editors
Interests: machine learning; advanced materials; renewable energy; advanced therapeutics; sustainability
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Machine learning has emerged as a powerful tool in green chemistry. It is a data-driven approach harnessing data analysis and computational models to revolutionize the design, optimization, and assessment of sustainable chemical processes. Through predictive modeling, pattern recognition, and informed decision making, machine learning techniques contribute to the development of environmentally friendly and economically viable chemical solutions. In chemical synthesis, machine learning models not only facilitate the prediction of reaction outcomes, but also optimize reaction conditions, minimize waste, and reduce energy consumption. In toxicity prediction and assessment, by analyzing chemical structures and their associated toxicity profiles, machine learning helps in identifying safer compounds and ensuring the development of environmentally friendly products. In addition, machine learning contributes to solvent selection, recommending greener alternatives that have lower environmental impact and reduced health hazards. Therefore, the integration of machine learning and green chemistry holds promise for a more sustainable future. By accelerating the development of ecologically sound processes, optimizing resource utilization, and minimizing detrimental effects on the environment, machine learning is driving the paradigm shift towards greener and more sustainable chemical practices.
Dr. Tu Le
Guest Editor
Dr. Haoxin Mai
Guest Editor Assistant
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
- environment
- green solvents
- sustainability
- renewable energy
- catalysis
- carbon reduction
- machine learning
- green synthesis
