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Cutting Edge Chemistry and its Impacts on Sustainable Development

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: closed (31 March 2022) | Viewed by 499

Special Issue Editors


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Guest Editor
Department of chemistry, University of Fribourg, Fribourg, Switzerland
Interests: computer chemistry; machine learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Chemistry and Pharmacy Department, University of Sofia, Sofia, Bulgaria
Interests: computational chemistry; molecular dynamics; chemometrucs

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Guest Editor
Department of chemistry, University of Fribourg, Fribourg, Switzerland
Interests: computational chemistry; molecular dynamics; chemometrucs

Special Issue Information

Dear Colleagues,

Cutting-edge research in science, and especially in chemistry, aims to offer scientists an outline of the impact and interdisciplinary nature of chemistry today.

The COVID-19 pandemic has had an unprecedented toll on the way research is conducted worldwide; while Some research centers are slowly reopening and activities returning to normal again, many institutions remain closed. For research to be successful, it must be conducted under specific, normal circumstances and with all members of a research team being able to convene together—something that COVID-19 has made virtually impossible for near a year now. The focus of this Special Issue is sustainability in science, and the issues faced in research today. For example, a topic of particular interest today is pharmaceutical development schemes and the ability to develop and release new drugs that exhibit high potentiality and are environmentally friendly, and to do this as fast as possible.

Thus, drug discovery should go hand in hand with the substantial improvements in drug development and their impact on all scales of research and implementation. The process of drug delivery creates a plethora of questions about synthesis procedures and eventual process optimization in accordance with sustainability and green scenarios.

With this Special Issue, we want to bring together researchers from diverse fields of science to share ideas for cutting-edge chemistry research and how it can influence sustainability in science and in society. Contributions are welcome from all areas of chemistry, biology, material science, chemometrics, and the environmental sciences.

Original research and reviews are welcome.

Dr. Miroslava A. Nedyalkova
Dr. Julia Romanova
Dr. Giulia Mirabello
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. Sustainability 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 2400 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

  • drug design
  • simulations
  • clinical data treatment
  • environment concepts
  • machine learning
  • design of experiments

Published Papers

There is no accepted submissions to this special issue at this moment.
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