Nanoscale Systems: Mathematical Modeling, Theory and Applications
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Systems at the nanoscale are ubiquitous in a wide range of technological innovations, as well as in nature. Examples include low dimensional semiconductor nanostructures such as quantum wires and quantum dots, carbon nanostructures such as graphene and nanotubes, and a diverse variety of biological nanostructures such as those obtained from biomolecules, to name just a few. Firstly, our study of such systems is of both fundamental and applied importance. Secondly, such systems are central for our better understanding and ultimate rational design of larger systems in which nanoscale systems are integrated. This journal exists to cover research in both of these directions.
Aims and Scope
Why subscribe and read
NanoSystems MMTA is an international, interdisciplinary, peer-reviewed journal devoted to the publication of research results in the study, development, and application of systems at the nanoscale where, along with experimental techniques, the role of mathematical, statistical, and computational tools is becoming increasingly important. This emerging multidisciplinary field includes applications and advancements of these tools in all of the disciplines facing the challenges associated with the nanoscale systems. This includes, but not limited to, physics, chemistry, biology, materials science, medicine, and engineering.
The journal aims to provide its diverse readership with coverage of important advances in all aspects of nanoscale systems that are being achieved with mathematical, statistical and computational tools. It also aims at coverage of important advances in the development of mathematical theory as well as applications pertinent to such systems.
The journal is peer-reviewed, publishes in electronic-only format, on ongoing basis, warranting immediate publication of accepted papers. The Open Access model allows ready access to its target audience and the peer-review system together with the outstanding scientists of the editorial board, ensures that quality is maintained throughout. The language of the journal is English.
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- Emerging Science
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Submission of Manuscripts
Instructions for Authors
Manuscripts should be submitted to the journal via online submission system Editorial Manager available for this journal at http://www.editorialmanager.com/nanommta. In case of problems, please contact the Editorial Office of this journal at email@example.com.
The journal uses a closed single-blind peer review system (the names of the reviewers are hidden from the authors). Submitted manuscripts are reviewed by two or more experts. Reviewers are asked to recommend whether a manuscript should be accepted, revised or rejected. Although the journal uses the plagiarism detection system CrossCheck, reviewers should alert the editors if they suspect any issues relating to author misconduct such as plagiarism.
Reviewers are asked to provide detailed, constructive comments that will help both the editors make a decision on the publication and the author(s) to improve their manuscript. They should point out whether the work has serious flaws that preclude its publication, or whether additional experiments should be carried out or additional data should be collected to support the conclusions drawn.
Abstracting & Indexing
Nanoscale Systems: Mathematical Modeling, Theory and Applications is covered by the following services:
- Baidu Scholar
- Chemical Abstracts Service (CAS) - CAplus
- CNKI Scholar (China National Knowledge Infrastructure)
- DOAJ (Directory of Open Access Journals)
- EBSCO Discovery Service
- Genamics JournalSeek
- Google Scholar
- Mathematical Reviews (MathSciNet)
- Naviga (Softweco)
- Primo Central (ExLibris)
- ProQuest (relevant databases)
- Summon (Serials Solutions/ProQuest)
- TDOne (TDNet)
- The Polish Digital Mathematical Library (DML-PL)
- Ulrich's Periodicals Directory/ulrichsweb
- WorldCat (OCLC)
- Zentralblatt Math (zbMATH)
Roderick Melnik, The MS2Discovery Interdisciplinary Research Institute, M2NeT Laboratory, Wilfrid Laurier University, Waterloo, Canada
Managing Journal Editor
Alex Povitsky, University of Akron, United States
Luis L. Bonilla, G. Millan Institute in Fluid Dynamics, Nanoscience and Industrial Mathematics, Universidad Carlos III de Madrid, Spain
Horia Cornean, Department of Mathematical Sciences, Aalborg University, Denmark
Ming Dao, Nanomechanics Laboratory, Massachusetts Institute of Technology, United States
Ansgar Jüngel, Institute for Analysis and Scientific Computing, Technical University of Vienna, Austria
Efthimios Kaxiras, School of Engineering and Applied Sciences, Harvard University, United States
Andrei Khrennikov, School of Computer Science, Physics and Mathematics, Linnaeus University, Sweden
Gerhard Klimeck, Nanoelectronic Modeling Group, College of Engineering, Purdue University, United States
Florian Mehats, Mathematics Research Institute (IRMAR), University of Rennes, France
Zoran Miskovic, Institute of Nanotechnology, University of Waterloo, Canada
Sophie Schirmer, College of Science, Swansea University, United Kingdom
Dragica Vasileska, Global Institute of Sustainability, School of Electrical, Computer and Energy Engineering, Arizona State University, United States
Qi Wang, Department of Mathematics and NanoCenter, University of South Carolina, United States
Sanjay Prabhakar, M2NeT Lab, Wilfrid Laurier University, Waterloo, Canada
Bin Wen, State Key Laboratory of Metastable Materials Science and Technology, Yanshan University, China
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