Marvin Poul

1. Automated generation of structure datasets for machine learning potentials and alloys
   2025/06/07 by Marvin Poul, Liam Huber, Jörg Neugebauer · 1 voice · 2 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #X-ray Diffraction in Crystallography #Computational Drug Discovery Methods
2. Data-Efficient Training of Linear ACE Potentials through Leverage-Guided Subset Selection of ASSYST Structure Pools
   2026/07/20 by Aynour Khosravi, Marvin Poul, Jörg Neugebauer +1
   #cond-mat.mtrl-sci
3. Computing binary alloy phase diagrams with explicit configurational and vibrational entropy
   2026/07/16 by Sarath Menon, Marvin Poul, Tilmann Hickel +2
   Physics and Astronomy · #cond-mat.mtrl-sci