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Janßen, J.; Taylor, M.; Yang, P.; Neugebauer, J.; Perez, D.: Executorlib – Up-scaling Python workflows for hierarchical heterogenous high-performance computing. The Journal of Open Source Software (JOSS) 10 (108), 7782 (2025)

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Zimmermann, Y.; Bazgir, A.; Al-Feghali, A.; Ansari, M.; Bocarsly, J.; Brinson, L. C.; Chiang, Y.; Circi, D.; Chiu, M.-H.; Daelman, N. et al.; Evans, M. L.; Gangan, A. S.; George, J.; Harb, H.; Khalighinejad, G.; Takrim Khan, S.; Klawohn, S.; Lederbauer, M.; Mahjoubi, S.; Mohr, B.; Mohamad Moosavi, S.; Naik, A.; Beste Ozhan, A.; Plessers, D.; Roy, A.; Schöppach, F.; Schwaller, P.; Terboven, C.; Ueltzen, K.; Wu, Y.; Zhu, S.; Janßen, J.; Li, C.; Foster, I.; Blaiszik, B.: 32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery. Machine Learning: Science and Technology 6 (3), 030701 (2025)

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Waseda, O.; Hickel, T.; Neugebauer, J.: Dissecting physics of carbon ordering in bcc iron. Thermec 2025, Toulouse, France (2025)

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