Patrick Reiser

According to our database, Patrick Reiser authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Interpretable delta-learning of GW quasiparticle energies from GGA-DFT.

Artem Fediai, Patrick Reiser, Jorge Enrique Olivares Peña, Wolfgang Wenzel, Pascal Friederich

Mach. Learn. Sci. Technol., September, 2023

Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms.

Henrik Schopmans, Patrick Reiser, Pascal Friederich

CoRR, 2023

Connectivity Optimized Nested Graph Networks for Crystal Structures.

Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich

CoRR, 2023

MEGAN: Multi-explanation Graph Attention Network.

Jonas Teufel, Luca Torresi, Patrick Reiser, Pascal Friederich

Proceedings of the Explainable Artificial Intelligence, 2023

2022

Graph neural networks for materials science and chemistry.

Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich

CoRR, 2022

2021

Graph neural networks in TensorFlow-Keras with RaggedTensor representation (kgcnn).

Patrick Reiser, André Eberhard, Pascal Friederich

Softw. Impacts, 2021

Implementing graph neural networks with TensorFlow-Keras.

Patrick Reiser, André Eberhard, Pascal Friederich

CoRR, 2021

Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning.

Patrick Reiser, Manuel Konrad, Artem Fediai, Salvador León, Wolfgang Wenzel, Pascal Friederich

CoRR, 2021