Editors:
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 232)
Conference series link(s): BIRS-16w5069: Workshop on Coupled Mathematical Models for Physical and Nanoscale Systems and their Applications
Conference proceedings info: BIRS-16w5069 2016.
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Table of contents (15 papers)
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Front Matter
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Charge and Spin Transport in Low-Dimensional Structures
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Front Matter
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Modeling Biological Phenomena from Nano- to Macro-scales
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Front Matter
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Mathematics for 2D Materials and Properties of Confined Nanostructures
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Front Matter
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Other Volumes
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Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
About this book
This volume gathers selected contributions from the participants of the Banff International Research Station (BIRS) workshop Coupled Mathematical Models for Physical and Biological Nanoscale Systems and their Applications, who explore various aspects of the analysis, modeling and applications of nanoscale systems, with a particular focus on low dimensional nanostructures and coupled mathematical models for their description.
Due to the vastness, novelty and complexity of the interfaces between mathematical modeling and nanoscience and nanotechnology, many important areas in these disciplines remain largely unexplored. In their efforts to move forward, multidisciplinary research communities have come to a clear understanding that, along with experimental techniques, mathematical modeling and analysis have become crucial to the study, development and application of systems at the nanoscale.
The conference, held at BIRS in autumn 2016, brought together experts from three different communities working in fields where coupled mathematical models for nanoscale and biosystems are especially relevant: mathematicians, physicists (both theorists and experimentalists), and computational scientists, including those dealing with biological nanostructures. Its objectives: summarize the state-of-the-art; identify and prioritize critical problems of major importance that require solutions; analyze existing methodologies; and explore promising approaches to addressing the challenges identified.
The contributions offer up-to-date introductions to a range of topics in nano and biosystems, identify important challenges, assess current methodologies and explore promising approaches. As such, this book will benefit researchers in applied mathematics, as well as physicists and biologists interested in coupled mathematical models and their analysis for physical and biological nanoscale systems that concern applications in biotechnology and medicine, quantum information processing and optoelectronics.
Editors and Affiliations
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Department of Materials Science and Engineering and G. Millan Institute, Universidad Carlos III de Madrid, Leganés, Spain
Luis L. Bonilla
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Lyman Laboratory of Physics, Department of Physics, Harvard University, Cambridge, USA
Efthimios Kaxiras
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The MS2 Discovery Interdisciplinary Research Institute, Wilfrid Laurier University, Waterloo, Canada
Roderick Melnik
Bibliographic Information
Book Title: Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
Book Subtitle: Banff International Research Station, Banff, Canada, 28 August - 2 September 2016
Editors: Luis L. Bonilla, Efthimios Kaxiras, Roderick Melnik
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-3-319-76599-0
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2018
Hardcover ISBN: 978-3-319-76598-3Published: 22 June 2018
Softcover ISBN: 978-3-030-09530-7Published: 15 December 2018
eBook ISBN: 978-3-319-76599-0Published: 20 June 2018
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: X, 314
Number of Illustrations: 32 b/w illustrations, 68 illustrations in colour
Topics: Mathematical Applications in the Physical Sciences, Computational Science and Engineering, Statistical Physics and Dynamical Systems, Physiological, Cellular and Medical Topics