rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Coupled Mathematical Models for Physical and Biological Nanoscale Systems and Their Applications
    sub title: Banff International Research Station, Banff, Canada, 28 August - 2 September 2016
  name:
    name part: Bonilla, Luis L.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Kaxiras, Efthimios.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Melnik, Roderick.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 314 p. 100 illus., 68 illus. in color. online resource.
  abstract: 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 optoe…
  table of contents: Preface -- Part A. Charge and Spin Transport in Low-Dimensional Structures: Nonlinear Quantum Mechanics: Björn Birnir -- Chaotic Current Self-Oscillations in Doped, Weakly Coupled Semiconductor Superlattices for True Random Number Generation: Yaohui Zhang et al -- Transport out of Locally Broken Detailed Balance: Rafael Sánchez -- Non-Perturbative Approaches in Nanoscience and Corrections to Finite-Size Scaling: J. Kaupuzs et a -- Continuum Model for Coupled Acousto-Optical Phonons in Piezoelectric Materials: Morten Willatzen et al -- Part B. Modeling Biological Phenomena from Nano to Macro Scales: Stochastic Models of Tumor Induced Angiogenesis: L.L. Bonilla et al -- Biofilm Mechanics and Patterns: A. Carpio et al -- Modelling the Unfolding Pathway of Biomolecules: Theoretical Approach and Experimental Prospect: Carlos A. Plata et al -- The Geometry of Most Probable Trajectories in Noise-Driven Dynamical Systems: John C. Neu et al -- Part C. Mathematics for 2D Materials and Properties of Confined Nanostructures: Classical Density-Functional Theory Studies of Fluid Adsorption on Nanopatterned Planar Surfaces: Peter Yatsyshin et al -- Modeling Metastability in CdTe Solar Cells Due to Cu Migration: Da Guo et al -- A Multiscale Molecular Dynamics and Coupling with Nonlinear Finite Element Method: S. Urata et al -- Modeling Electronic Properties of Twisted 2D Atomic Heterostructures: Stephen Carr et al -- Molecular Dynamics and Related Computational Methods with Applications to Drug Discovery: Jordane Preto et al -- Macroscopic Models for the Bioelectronic Interface of Engineered Artificial Membranes: William Hoiles et al.
  note: edited by Luis L. Bonilla, Efthimios Kaxiras, Roderick Melnik.
  subject:
    topic: Mathematical physics
  subject:
    topic: Computer mathematics
  subject:
    topic: Statistical physics
  subject:
    topic: Biomathematics
  subject:
    topic: Mathematical Applications in the Physical Sciences
  subject:
    topic: Computational Science and Engineering
  subject:
    topic: Statistical Physics and Dynamical Systems
  subject:
    topic: Physiological, Cellular and Medical Topics
  classification: QC19.2-20.85
  classification: 519
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Proceedings in Mathematics & Statistics, 232
  identifier: 9783319765990
  identifier: https://doi.org/10.1007/978-3-319-76599-0
  record info:
    record creation date: 180620
    record change date: 20191025172814.0
    record identifier: 978-3-319-76599-0