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Multidisciplinary approaches in theory, applications and modeling of nanoscale systems

Roderick V.N. Melnik

Nanoscale Systems: Mathematical Modeling, Theory and Applications (2013)

  • Volume: 2, page 1-9
  • ISSN: 2299-3290

Abstract

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This editorial provides an overview of both fundamental and applied research areas covered by the journal of Nanoscale Systems: Mathematical Modeling, Theory and Applications (NanoMMTA), as well as of articles published in the journal inaugural volume. The unique feature of NanoMMTA is its focus on the interface between the study, development, and application of systems at the nanoscale with theoretical methods and experimental techniques on the one hand and mathematical, statistical, and computational tools on the other. NanoMMTA is the first international, interdisciplinary, peer-reviewed journal focusing specifically on this interface. This emerging multidisciplinary field at the interface of mathematical modeling, nanoscience and nanotechnology includes applications and advancements of these tools in all of the disciplines facing the challenges associated with the nanoscale systems.

How to cite

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Roderick V.N. Melnik. "Multidisciplinary approaches in theory, applications and modeling of nanoscale systems." Nanoscale Systems: Mathematical Modeling, Theory and Applications 2 (2013): 1-9. <http://eudml.org/doc/266560>.

@article{RoderickV2013,
abstract = {This editorial provides an overview of both fundamental and applied research areas covered by the journal of Nanoscale Systems: Mathematical Modeling, Theory and Applications (NanoMMTA), as well as of articles published in the journal inaugural volume. The unique feature of NanoMMTA is its focus on the interface between the study, development, and application of systems at the nanoscale with theoretical methods and experimental techniques on the one hand and mathematical, statistical, and computational tools on the other. NanoMMTA is the first international, interdisciplinary, peer-reviewed journal focusing specifically on this interface. This emerging multidisciplinary field at the interface of mathematical modeling, nanoscience and nanotechnology includes applications and advancements of these tools in all of the disciplines facing the challenges associated with the nanoscale systems.},
author = {Roderick V.N. Melnik},
journal = {Nanoscale Systems: Mathematical Modeling, Theory and Applications},
keywords = {Systems at the nanoscale; Physics and chemistry; Biology and life sciences; Materials science; Medicine and engineering; Mathematical, statistical and computational sciences; Cross-disciplinary research collaboration},
language = {eng},
pages = {1-9},
title = {Multidisciplinary approaches in theory, applications and modeling of nanoscale systems},
url = {http://eudml.org/doc/266560},
volume = {2},
year = {2013},
}

TY - JOUR
AU - Roderick V.N. Melnik
TI - Multidisciplinary approaches in theory, applications and modeling of nanoscale systems
JO - Nanoscale Systems: Mathematical Modeling, Theory and Applications
PY - 2013
VL - 2
SP - 1
EP - 9
AB - This editorial provides an overview of both fundamental and applied research areas covered by the journal of Nanoscale Systems: Mathematical Modeling, Theory and Applications (NanoMMTA), as well as of articles published in the journal inaugural volume. The unique feature of NanoMMTA is its focus on the interface between the study, development, and application of systems at the nanoscale with theoretical methods and experimental techniques on the one hand and mathematical, statistical, and computational tools on the other. NanoMMTA is the first international, interdisciplinary, peer-reviewed journal focusing specifically on this interface. This emerging multidisciplinary field at the interface of mathematical modeling, nanoscience and nanotechnology includes applications and advancements of these tools in all of the disciplines facing the challenges associated with the nanoscale systems.
LA - eng
KW - Systems at the nanoscale; Physics and chemistry; Biology and life sciences; Materials science; Medicine and engineering; Mathematical, statistical and computational sciences; Cross-disciplinary research collaboration
UR - http://eudml.org/doc/266560
ER -

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