8 citations · 8 across the 2 of their papers we have counts for
2 papers
q-bio.TO2025
Data-driven Neural Networks for Windkessel Parameter Calibration
Benedikt Hoock, Tobias Köppl
In this work, we propose a novel method for calibrating Windkessel (WK) parameters in a dimensionally reduced 1D-0D coupled blood flow model. To this end, we design a data-driven n…
cond-mat.mtrl-sci2022★ 8 cited
Advancing descriptor search in materials science: feature engineering and selection strategies
Benedikt Hoock, Santiago Rigamonti, Claudia Draxl
A main goal of data-driven materials research is to find optimal low-dimensional descriptors, allowing us to predict a physical property, and to interpret them in a human-understan…