Application of computational modeling methods to metallic phenomena
| dc.contributor.author | Truesdale, Evan | |
| dc.date.accessioned | 2021-10-08T17:37:16Z | |
| dc.date.available | 2021-10-08T17:37:16Z | |
| dc.date.issued | 4/14/2021 | |
| dc.description.abstract | Computational 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.other | Vol 2 | |
| dc.identifier.uri | http://hdl.handle.net/1773/47808 | |
| dc.publisher | URMSE | |
| dc.rights | CC BY-NC 4.0 | |
| dc.subject | Computation Modeling | |
| dc.subject | Cellular Automata | |
| dc.subject | Molecular Dynamics | |
| dc.subject | Molecular Dynamics | |
| dc.subject | Density Functional Theory | |
| dc.subject | Monte Carlo | |
| dc.title | Application of computational modeling methods to metallic phenomena | |
| dc.type | Article |
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