21 citations · 39 across the 4 of their papers we have counts for
4 papers
Calibration of stochastic, agent-based neuron growth models with Approximate Bayesian Computation
Tobias Duswald, Lukas Breitwieser, Thomas Thorne +2
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain's architecture, and agent-based models (ABMs)…
Finite elements for Matérn-type random fields: Uncertainty in computational mechanics and design optimization
Tobias Duswald, Brendan Keith, Boyan Lazarov +2
This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on applications in computational m…
High-performance finite elements with MFEM
Julian Andrej, Nabil Atallah, Jan-Phillip Bäcker +15
The MFEM (Modular Finite Element Methods) library is a high-performance C++ library for finite element discretizations. MFEM supports numerous types of finite element methods and i…
Bridging Scales: a Hybrid Model to Simulate Vascular Tumor Growth and Treatment Response
Tobias Duswald, Ernesto A. B. F. Lima, J. Tinsley Oden +1
Cancer is a disease driven by random DNA mutations and the interaction of many complex phenomena. To improve the understanding and ultimately find more effective treatments, resear…