Brinckmann, S.; Menon, S.; Röske, R.; Steinhülb, J.; Selzer, M.; Janssen, J.; Hickel, T.; Schwaiger, R.; Neugebauer, J.: A Lightweight Procedural Layer for Hybrid Experimental-Computational Workflows in Materials Science. Advanced Engineering Materials, e202503176 (2026)

Janßen, J.; George, J.; Geiger, J.; Bercx, M.; Wang, X.; Ertural, C.; Schaarschmidt, J.; Ganose, A. M.; Pizzi, G.; Hickel, T. et al.; Neugebauer, J.: A python workflow definition for computational materials design. Digital Discovery 4, pp. 3149 - 3161 (2025)

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)

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)

Janßen, J.; Makarov, E.; Hickel, T.; Shapeev, A. V.; Neugebauer, J.: Automated optimization and uncertainty quantification of convergence parameters in plane wave density functional theory calculations. npj Computational Materials 10 (1), 263 (2024)

Menon, S.; Lysogorskiy, Y.; Knoll, A. L. M.; Leimeroth, N.; Poul, M.; Qamar, M.; Janssen, J.; Mrovec, M.; Rohrer, J.; Albe, K. et al.; Behler, J.; Drautz, R.; Neugebauer, J.: From electrons to phase diagrams with machine learning potentials using pyiron based automated workflows. npj Computational Materials 10 (1), 261 (2024)

Zhu, L.-F.; Janßen, J.; Ishibashi, S.; Körmann, F.; Grabowski, B.; Neugebauer, J.: A fully automated approach to calculate the melting temperature of elemental crystals. Computational Materials Science 187 (11), 110065 (2021)

Swinburne, T. D.; Janssen, J.; Todorova, M.; Simpson, G.; Plechac, P.; Luskin, M.; Neugebauer, J.: Anharmonic free energy of lattice vibrations in fcc crystals from a mean-field bond. Physical Review B 102 (10), 100101(R) (2020)

Janßen, J.; Surendralal, S.; Lysogorskiy, Y.; Todorova, M.; Hickel, T.; Drautz, R.; Neugebauer, J.: pyiron: An integrated development environment for computational materials sciences. Computational Materials Science 163, pp. 24 - 36 (2019)

Lysogorskiy, Y.; Hammerschmidt, T.; Janßen, J.; Neugebauer, J.; Drautz, R.: Transferability of interatomic potentials for molybdenum and silicon. Modelling and Simulation in Materials Science and Engineering 27 (2), 025007 (2019)

Hickel, T.; Janßen, J.; Sözen, H. I.; Sreekala, L.; Körmann, F.; Surendralal, S.; Todorova, M.; Neugebauer, J.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. ICAMS Advanced Discussions, virtual, Bochum, Germany (2021)

Hickel, T.; Janßen, J.; Sözen, H. I.; Körmann, F.; Surendralal, S.; Todorova, M.; Neugebauer, J.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. Thermec'2021, Virtual Conference, Graz, Austria (2021)

Janßen, J.; Neugebauer, J.: pyiron – an integrated development environment for material science. CECAM Workshop, virtual, Lausanne, Switzerland (2021)

Janßen, J.; Hickel, T.; Neugebauer, J.: pyiron – an integrated development environment for ab initio thermodynamics. Potential Workshop, ICAMS, virtual, Bochum, Germany (2021)

Neugebauer, J.; Janßen, J.: Pyiron – an integrated development environment for simulation workflows. CECAM Summer School in 2020: “Simulation Workflows in Materials Modelling (SWiMM 2020)”, CECAM HQ – École Polytechnique Fédérale de Lausanne, Virtual Meeting, Lausanne, Switzerland (2021)

Freysoldt, C.; Hickel, T.; Janßen, J.; Wang, N.; Zendegani, A.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. Coffee with Max Planck, virtual seminar organized by the MPIE, Düsseldorf, Germany (2021)

Hickel, T.; Freysoldt, C.; Janßen, J.; Wang, N.; Zendegani, A.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. Coffee with Max Planck, virtual seminar organized by the MPIE, Düsseldorf, Germany (2021)

Hickel, T.; Janßen, J.; Sözen, H. I.; Körmann, F.; Neugebauer, J.: High-throughput optimization of finite temperature phase stabilities: Concepts and application. IMWF Stuttgart, Colloquium Materials , virtual, Stuttgart, Germany (2020)

Janßen, J.; Hickel, T.; Neugebauer, J.: pyiron – an integrated development environment for ab initio thermodynamics. AMS Seminar, virtual, Bochum, Germany (2020)

Janßen, J.; Hickel, T.; Neugebauer, J.: Automated ab-initio Determination of Materials Properties at finite Temperatures with pyiron. NIST Workshop, virtual, Rockville, MD, USA (2020)