activity
20022023
most citedScalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet

171 citations · 689 across the 32 of their papers we have counts for

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Showing 2019Show all

2 papers · 1 filter

math.OC2019★ 23 cited

Optimal experimental design under irreducible uncertainty for linear inverse problems governed by PDEs

Karina Koval, Alen Alexanderian, Georg Stadler

We present a method for computing A-optimal sensor placements for infinite-dimensional Bayesian linear inverse problems governed by PDEs with irreducible model uncertainties. Here,…

cs.CE2019★ 18 cited

Scalable Simulation of Realistic Volume Fraction Red Blood Cell Flows through Vascular Networks

Libin Lu, Matthew J. Morse, Abtin Rahimian +2

High-resolution blood flow simulations have potential for developing better understanding biophysical phenomena at the microscale, such as vasodilation, vasoconstriction and overal…