Allen, Alice E. A.

1. Learning Together: Towards foundational models for machine learning interatomic potentials with meta-learning
   2023/07/08 by Alice E. A. Allen, Allen, Alice E. A., Nicholas Lubbers +11 · 12 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Protein Structure and Dynamics
2. Multi-fidelity learning for interatomic potentials: Low-level forces and high-level energies are all you need
   2025/05/02 by Messerly, Mitchell, Sakib Matin, Alice E. A. Allen +12 · 6 citations
   Materials Science · #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science
3. Teacher-student training improves accuracy and efficiency of machine learning interatomic potentials
   2025/02/07 by Matin, Sakib, Allen, Alice E. A., Shinkle, Emily +9 · 3 citations
   #Chemical Physics (physics.chem-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML)