Kipton Barros
- 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
- Sunny.jl: A Julia Package for Spin Dynamics
2025/01/22 by David Dahlbom, Dahlbom, David, Hao Zhang +35 · 12 citations
Computer Science · #Computational Physics and Python Applications
- Renormalized Classical Theory of Quantum Magnets
2023/04/08 by David Dahlbom, Dahlbom, David, Hao Zhang +9 · 5 citations
Physics and Astronomy · #Advanced Condensed Matter Physics #FOS: Physical sciences #Physics of Superconductivity and Magnetism #Quantum and electron transport phenomena #Strongly Correlated Electrons (cond-mat.str-el)
- Cubic Double Perovskites Host Noncoplanar Spin Textures
2023/01/26 by Joseph A. M. Paddison, Hao Zhang, Paddison, Joseph A. M. +19 · 2 citations
Materials Science · Physics and Astronomy · #Advanced Condensed Matter Physics #FOS: Physical sciences #Magnetic and transport properties of perovskites and related materials #Materials Science (cond-mat.mtrl-sci) #Strongly Correlated Electrons (cond-mat.str-el) #Topological Materials and Phenomena
- Multi-fidelity learning for interatomic potentials: Low-level forces and high-level energies are all you need
2025/05/02 by Sakib Matin, Messerly, Mitchell, 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
- Simple and efficient algorithms for training machine learning potentials to force data
2020/06/09 by Justin S. Smith, Nicholas Lubbers, Smith, Justin S. +5 · 2 citations
Chemistry · Computer Science · Materials Science · #Computational Drug Discovery Methods #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Various Chemistry Research Topics
- Machine learning potentials with Iterative Boltzmann Inversion: training to experiment
2023/07/10 by Sakib Matin, Alice Allen, Matin, Sakib +17 · 2 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Applied Physics (physics.app-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Model Reduction and Neural Networks #Protein Structure and Dynamics
- Classical signatures of quenched and thermal disorder in the dynamics of correlated spin systems
2025/01/07 by Harry Lane, Kipton Barros, Lane, Harry +3 · 3 citations
Physics and Astronomy · #FOS: Physical sciences #Strongly Correlated Electrons (cond-mat.str-el) #Theoretical and Computational Physics