Advances in Materials: Modelling Challenges and Technological Progress for Green Engineering and Sustainable Development
A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Green Materials".
Deadline for manuscript submissions: 30 November 2024 | Viewed by 3153
Special Issue Editors
Interests: combustion; co-combustion; thermal analysis; TG/DTG; DTA; DSC; QMS; emission of pollutants; fuels; waste; polymer materials; composites; recycling; thermomechanical properties of materials
Special Issues, Collections and Topics in MDPI journals
Interests: combustion; adsorption chillers; desalination; cooling production; CFB boilers; oxy-fuel combustion; CLC; biomass; modeling
Special Issues, Collections and Topics in MDPI journals
Interests: energy engineering; energy conversion; adsorption cooling and desalination systems; combustion and co-combustion; chemical-looping combustion; NOx; SO2; fluidization; circulating fluidized bed technology; modelling; simulation; artificial intelligence; machine learning; fuzzy logic; artificial neural networks; genetic algorithms
Special Issues, Collections and Topics in MDPI journals
Interests: combustion; gasification; CLC processes; shale oil reactors; boilers; gasifiers; thermodynamics; gas reforming; power generation; mathematical modeling; simulation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Due to the increasing computational capability of current data processing systems and technological advancements, new opportunities have emerged in materials engineering. Methods that are highly demanding, time-consuming, and difficult to apply may now be considered when developing complete and sophisticated models in many areas of science and technology. The combination of computational methods and AI algorithms allows us to conduct multi-threaded analyses to solve advanced and interdisciplinary problems. This Special Issue aims to bring together research on material advances, focussing on modelling challenges and technological progress mainly for green engineering and sustainable development. Original research studies, as well as review articles and short communications, are welcome, especially those with a particular focus on (but not limited to) artificial intelligence, other computational methods, and state-of-the-art technological concepts related to the listed keywords within materials engineering.
Dr. Agnieszka Kijo-Kleczkowska
Prof. Dr. Wojciech Nowak
Prof. Dr. Jaroslaw Krzywanski
Prof. Dr. Marcio L. De Souza-Santos
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. 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.
Keywords
- thermomechanical research of materials
- net-zero emission
- waste-to-energy
- sustainability
- energy efficiency
- oxygen carriers
- fuels
- waste
- adsorbents
- absorbents
- adsorption cooling and desalination systems
- adsorption and absorption chillers
- furnaces and boilers
- combustion and co-combustions
- fluidization
- artificial intelligence
- machine learning
- artificial neural networks
- deep learning
- genetic and evolutionary algorithms
- artificial immune systems
- fuzzy logic
- expert systems
- bio-inspired methods
- CFD
- modelling
- simulation
- optimization
- complex systems
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