Application of computational modeling methods to metallic phenomena

dc.contributor.authorTruesdale, Evan
dc.date.accessioned2021-10-08T17:37:16Z
dc.date.available2021-10-08T17:37:16Z
dc.date.issued4/14/2021
dc.description.abstractComputational modeling techniques are becoming increasingly useful for studying a wide array of metallic properties at all length scales as the complexity of materials increases and the requirements for their application becomes more stringent. The development of algorithms for individual size and time domains is central to this area of research. An overview of various modeling methods is presented in this paper, categorized by their size domains, as well as their current applications in research on metallic phenomena. The methods described are Finite Element Analysis and Finite Volume Analysis on the macroscale, Cellular Automata and Monte Carlo methods on the microscale, and Molecular Dynamics and Density Functional Theory on the atomistic scale.
dc.identifier.otherVol 2
dc.identifier.urihttp://hdl.handle.net/1773/47808
dc.publisherURMSE
dc.rightsCC BY-NC 4.0
dc.subjectComputation Modeling
dc.subjectCellular Automata
dc.subjectMolecular Dynamics
dc.subjectMolecular Dynamics
dc.subjectDensity Functional Theory
dc.subjectMonte Carlo
dc.titleApplication of computational modeling methods to metallic phenomena
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
pp12-17_Truesdale_E_URMSE2021.pdf
Size:
288.41 KB
Format:
Adobe Portable Document Format
Description: