47 citations · 101 across the 13 of their papers we have counts for
3 papers · 1 filter
Solving Bayesian Inverse Problems With Expensive Likelihoods Using Constrained Gaussian Processes and Active Learning
Maximilian Dinkel, Carolin M. Geitner, Gil Robalo Rei +2
Solving inverse problems using Bayesian methods can become prohibitively expensive when likelihood evaluations involve complex and large scale numerical models. A common approach t…
An efficient computational model of the in-flow capturing of magnetic nanoparticles by a cylindrical magnet for cancer nanomedicine
Barbara Wirthl, Vitaly Wirthl, Wolfgang A. Wall
Magnetic nanoparticles have emerged as a promising approach to improving cancer treatment. However, many novel nanoparticle designs fail in clinical trials due to a lack of underst…
A highly efficient computational framework for fast scan-resolved simulations of metal additive manufacturing processes on the scale of real parts
Sebastian D. Proell, Peter Munch, Martin Kronbichler +2
This article proposes a novel high-performance computing approach for the prediction of the temperature field in powder bed fusion (PBF) additive manufacturing processes. In contra…