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 Materials Process Design & Control Laboratory
"To address critical material
needs through innovative computational 
research, education & outreach"
Doctoral & MS dissertations supervised Archival Journal Publications Lectures & Colloquia Books Edited Refereed Conference Publications Other Conference Presentations Technical Reports
Positions Available Suggested Curriculum for Doctoral Studies

Current Projects

Computational techniques for materials-by-design

Stochastic multiscale modeling in polycrystal materials

Atomistic modeling of materials

Statistical learning techniques for exploring process/structure/property relations in materials

Multiscale models of solidification

Phase field and level set methods in modeling microstructure evolution

Inverse problems in fluid flow control and crystal growth design

Uncertainty quantification, stochastic optimization, stochastic Galerkin and stochastic collocation for SPDEs