Computational Modeling and High Performance Computing in Advanced Materials Processing, Synthesis, and Design

Abstract

Computational modeling and simulations involving STEM (science, technology, engineering and mathematics) disciplines are highly interdisciplinary growing out of complex, challenging, multi-domain, multi-component and data intensive application needs of several disciplines and the need for high end computing hardware and software, algorithms and information driven technologies. The research efforts in this project focused on the synergistic coupling of: Computational material science and mechanics of hybrid and light weight polymeric composite structures. Computational multi-scale deformation behavior in metallic material systems. Computational enabling technologies of multi-scale flow simulation investigations with Lattice-Boltzmann equations and finite volume methods; physics based composite process flow. modeling in GPU systems; and probabilistic methods to understand uncertainties in deterministic composite processing flow models.

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Document Details

Document Type
Technical Report
Publication Date
Dec 07, 2014
Accession Number
ADA615707

Entities

People

  • Ram Mohan

Organizations

  • North Carolina Agricultural and Technical State University

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Computational Fluid Dynamics
  • Computational Science
  • Computer Programming
  • Crystal Structure
  • Material Degradation Processes
  • Materials
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Mathematical Models
  • Mechanical Properties
  • Mechanical Working
  • Mechanics
  • Modulus Of Elasticity
  • Molecular Dynamics

Readers

  • Computational Fluid Dynamics (CFD)
  • Reinforced Composite Materials
  • Research Science/Academic Research