38 citations · 44 across the 4 of their papers we have counts for
4 papers
Half-Inverse Gradients for Physical Deep Learning
Patrick Schnell, Philipp Holl, Nils Thuerey
Recent works in deep learning have shown that integrating differentiable physics simulators into the training process can greatly improve the quality of results. Although this comb…
Physics-based Deep Learning
N. Thuerey, B. Holzschuh, P. Holl +5
This document is a hands-on, comprehensive guide to deep learning in the realm of physical simulations. Rather than just theory, we emphasize practical application: every concept i…
Different Photostability of BiVO4 in Near-pH-Neutral Electrolytes
Siyuan Zhang, Ibbi Ahmet, Se-Ho Kim +11
Photoelectrochemical water splitting is a promising route to produce hydrogen from solar energy. However, corrosion of semiconducting photoelectrodes remains a fundamental challeng…
Defect Modulation Doping
Mirko Weidner, Anne Fuchs, Thorsten J. M. Bayer +3
The doping of semiconductor materials is a fundamental part of modern technology, but the classical approaches have in many cases reached their limits both in regard to achievable…