Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Houssam Metni"'
Autor:
Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi, Chen Zhou, Chen Shao, Houssam Metni, Clint van Hoesel, Henrik Schopmans, Timo Sommer, Pascal Friederich
Publikováno v:
Communications Materials, Vol 3, Iss 1, Pp 1-18 (2022)
Graph neural networks are machine learning models that directly access the structural representation of molecules and materials. This Review discusses state-of-the-art architectures and applications of graph neural networks in materials science and c
Externí odkaz:
https://doaj.org/article/26a8ac8ff79b4428871a0977411be761
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 015055 (2024)
Transfer of recent advances in deep reinforcement learning to real-world applications is hindered by high data demands and thus low efficiency and scalability. Through independent improvements of components such as replay buffers or more stable learn
Externí odkaz:
https://doaj.org/article/9f7644dca12a4349b7076664469a0e7f
Publikováno v:
Physica C: Superconductivity and its Applications. 605:1354209
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd3bdab542f5948cf72d8f937dafc302
https://doi.org/10.1016/j.physc.2023.1354209
https://doi.org/10.1016/j.physc.2023.1354209