AA2 – Materials, Light, Devices



Sparse Deep Neuronal Networks for the Design of Solar Energy Materials

Project Heads

Andrea Walther, Stephan Schmidt, Bernd Rech, Eva Unger

Project Members

Project Duration

Located at

HU Berlin


This project aims at an improved design and learning of sparse deep neural networks (DNNs). Combining ADMM and abs-linearization addresses the nonsmoothness whereas the DNN depth is controlled via a pseudo-time technique. The design of materials for solar cells and similar devices serves as application.

Project Webpages

Selected Publications

Selected Pictures

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