Quantitative Methods for Inferring Process-Structure-Property Relations in Machining
16 Jan 2019 | Contributor(s):: Fernandez-Zelaia, Patxi
Advisors: Shreyes N. Melkote, Roshan J. Vengazhiyil, Surya Kalidindi, Christopher Saldana, Troy MarusichMetal machining subjects material to large strains (e > 1) at extremely high rates (rate > 1000 s-1) while simultaneously imposing heating due to dissipated plastic work. This complex...
Data-Driven PSP Linkages for Atomistic Datasets
20 Aug 2018 | Contributor(s):: Gomberg, Joshua A.
Advisors: Surya R. Kalidindi, David L. McDowell, Mo Li, Benjamin Haaland, Hamid GarmestaniFor a variety of materials, atomic-scale modeling techniques are commonly employed as a means of investigating fundamental properties, including both structural and chemical responses. While force-field...
Structure-Property Linkages for Polycrystalline Materials Using Materials Knowledge Systems
20 Aug 2018 | Contributor(s):: Paulson, Noah H.
Advisors: Surya R. Kalidindi, David L. McDowell, Donald S. Shih, Richard W. Neu, Hamid GarmestaniComputational tools that are capable of rapidly exploring candidate microstructures and their associated properties are required to accelerate the rate of development and deployment of novel...