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Patrick Reiser
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2020 – today
- 2023
- [j2]Artem Fediai, Patrick Reiser, Jorge Enrique Olivares Peña, Wolfgang Wenzel, Pascal Friederich:
Interpretable delta-learning of GW quasiparticle energies from GGA-DFT. Mach. Learn. Sci. Technol. 4(3): 35045 (2023) - [c1]Jonas Teufel, Luca Torresi, Patrick Reiser, Pascal Friederich:
MEGAN: Multi-explanation Graph Attention Network. xAI (2) 2023: 338-360 - [i6]Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich:
Connectivity Optimized Nested Graph Networks for Crystal Structures. CoRR abs/2302.14102 (2023) - [i5]Henrik Schopmans, Patrick Reiser, Pascal Friederich:
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms. CoRR abs/2303.11699 (2023) - 2022
- [i4]Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich:
Graph neural networks for materials science and chemistry. CoRR abs/2208.09481 (2022) - [i3]Jonas Teufel, Luca Torresi, Patrick Reiser, Pascal Friederich:
MEGAN: Multi-Explanation Graph Attention Network. CoRR abs/2211.13236 (2022) - 2021
- [j1]Patrick Reiser, André Eberhard, Pascal Friederich:
Graph neural networks in TensorFlow-Keras with RaggedTensor representation (kgcnn). Softw. Impacts 9: 100095 (2021) - [i2]Patrick Reiser, Manuel Konrad, Artem Fediai, Salvador León, Wolfgang Wenzel, Pascal Friederich:
Analyzing dynamical disorder for charge transport in organic semiconductors via machine learning. CoRR abs/2102.01479 (2021) - [i1]Patrick Reiser, André Eberhard, Pascal Friederich:
Implementing graph neural networks with TensorFlow-Keras. CoRR abs/2103.04318 (2021)
Coauthor Index
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