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Challenges to Structure Prediction and Structure Characterization at the Nanoscale

  • University of Michigan, Ann Arbor
  • University of California at Berkeley

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

The new revolution in nanoscience, engineering, and technology is being driven by our ability to manipulate matter at the molecular and supramolecular level to create “designer” structures. The parameter space for engineering new materials is indeed vast—structures vary drastically with small changes in interparticle interactions or with small changes to the conditions under which the material is synthesized. Computational simulation offers a means to discover the fundamental principles of how nanoscale systems of molecular building blocks self-assemble, and how we might control the assembly process to engineer new materials.
Original languageAmerican English
Title of host publicationCharacterization of Materials
Pages1-5
Number of pages5
ISBN (Electronic)9780471266969
DOIs
StatePublished - 2012

Keywords

  • Monte Carlo methods
  • computational simulation
  • energy minimization
  • order parameters
  • self-assembly
  • shape matching

EGS Disciplines

  • Materials Science and Engineering

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