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Robert Saye

RobertSaye
Robert Saye
Research Scientist
Phone: 510-486-5296

Bio

Robert Saye studied at the Australian National University and received a Bachelor of Philosophy with First Class Honours (2007), specializing in applied mathematics. He graduated from UC Berkeley with a Ph.D. in applied mathematics in 2013 and held a Luis W. Alvarez Postdoctoral Fellow at Berkeley Lab from 2013 to 2017. He is now a staff member of the Mathematics Group at Berkeley Lab. His research interests include problems involving multiple moving interfaces, development of advanced numerical algorithms for implicit interface methods, high-order accurate implicit mesh discontinuous Galerkin methods for fluid-interface dynamics, multi-scale multi-physics, fluid flow and fluid-structure interaction, and high performance computing.

For more information on Robert's research activities, visit his research page

 

Journal Articles

Robert Saye, James Sethian, "Multiscale modelling of evolving foams", Journal of Computational Physics, June 15, 2016, doi: 10.1016/j.jcp.2016.02.077

Robert Saye, "High-order methods for computing distances to implicitly defined surfaces", Communications in Applied Mathematics and Computational Science, May 17, 2014, doi: 10.2140/camcos.2014.9.107

R. I. Saye, J. A. Sethian, "Analysis and applications of the Voronoi Implicit Interface Method", Journal of Computational Physics, 2012, 231:6051 - 608, doi: 10.1016/j.jcp.2012.04.004

Robert I. Saye, James A. Sethian, "The Voronoi Implicit Interface Method and Computational Challenges in Multiphase Physics", Milan Journal of Mathematics, 2012, 80:369--379, doi: 10.1007/s00032-012-0187-6

Robert I. Saye, James A. Sethian, "The Voronoi Implicit Interface Method for computing multiphase physics", Proceedings of the National Academy of Sciences, 2011, 108:19498--195, doi: 10.1073/pnas.1111557108

We introduce a numerical framework, the Voronoi Implicit Interface Method for tracking multiple interacting and evolving regions (phases) whose motion is determined by complex physics (fluids, mechanics, elasticity, etc.), intricate jump conditions, internal constraints, and boundary conditions. The method works in two and three dimensions, handles tens of thousands of interfaces and separate phases, and easily and automatically handles multiple junctions, triple points, and quadruple points in two dimensions, as well as triple lines, etc., in higher dimensions. Topological changes occur naturally, with no surgery required. The method is first-order accurate at junction points/lines, and of arbitrarily high-order accuracy away from such degeneracies. The method uses a single function to describe all phases simultaneously, represented on a fixed Eulerian mesh. We test the method’s accuracy through convergence tests, and demonstrate its applications to geometric flows, accurate prediction of von Neumann’s law for multiphase curvature flow, and robustness under complex fluid flow with surface tension and large shearing forces.

C. Rycroft, D. M. Ushizima, R. Saye, C. M. Ghajar, J. A. Sethian, "Building a physical cell simulation and comparing with confocal microscopy", Bay Area Physical Sciences - Oncology Center (NCI) Meeting 2010, UCSF Medical Sciences, September 2010,