Article

Lenchuk, Olena ; Rohrer, Jochen ; Albe, Karsten (2024)
Mo–Si Alloys Studied by Atomistic Computer Simulations Using a Novel Machine‐Learning Interatomic Potential: Thermodynamics and Interface Phenomena.
In: Advanced Engineering Materials, 2024, 26 (17)
doi: 10.26083/tuprints-00028276
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Leimeroth, Niklas ; Rohrer, Jochen ; Albe, Karsten (2024)
Structure–property relations of silicon oxycarbides studied using a machine learning interatomic potential.
In: Journal of the American Ceramic Society, 2024, 107 (10)
doi: 10.26083/tuprints-00028275
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Zieglowski, Mareike ; Trosien, Simon ; Rohrer, Jochen ; Mehlhase, Sabrina ; Weber, Simone ; Bartels, Kerstin ; Siegert, Gregor ; Trellenkamp, Taina ; Albe, Karsten ; Biesalski, Markus (2023)
Reactivity of Isocyanate-Functionalized Lignins: A Key Factor for the Preparation of Lignin-Based Polyurethanes.
In: Frontiers in Chemistry, 2019, 7
doi: 10.26083/tuprints-00016266
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Šić, Edina ; Rohrer, Jochen ; Ricohermoso, Emmanuel III ; Albe, Karsten ; Ionescu, Emmanuel ; Riedel, Ralf ; Breitzke, Hergen ; Gutmann, Torsten ; Buntkowsky, Gerd (2023)
SiCO Ceramics as Storage Materials for Alkali Metals/Ions: Insights on Structure Moieties from Solid‐State NMR and DFT Calculations.
In: ChemSusChem, 2023, 16 (12)
doi: 10.26083/tuprints-00024310
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Erhard, Linus C. ; Rohrer, Jochen ; Albe, Karsten ; Deringer, Volker L. (2022)
A machine-learned interatomic potential for silica and its relation to empirical models.
In: npj Computational Materials, 2022, 8
doi: 10.26083/tuprints-00021424
Article, Secondary publication, Publisher's Version