Goscinski, Alexander

1. Modeling the ferroelectric phase transition in barium titanate with DFT accuracy and converged sampling
   2023/10/19 by Lorenzo Gigli, Gigli, Lorenzo, Alexander Goscinski +5 · 2 citations
   Computer Science · Materials Science · Physics and Astronomy · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Neural Networks and Applications #Theoretical and Computational Physics
2. Metatensor and metatomic: foundational libraries for interoperable atomistic machine learning
   2025/08/21 by Filippo Bigi, Bigi, Filippo, Joseph W. Abbott +27 · 1 voice · 5 citations
   #physics.chem-ph
3. The role of feature space in atomistic learning
   2020/09/06 by Goscinski, Alexander, Fraux, Guillaume, Imbalzano, Giulio +1 · 1 citation
   #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Materials Science (cond-mat.mtrl-sci)