Perez, Danny

1. Training Data Selection for Accuracy and Transferability of Interatomic Potentials
   2022/01/24 by Zapiain, David Montes de Oca, Wood, Mitchell A., Lubbers, Nicholas +3 · 9 citations
   #Computational Physics (physics.comp-ph) #FOS: Physical sciences
2. An Entropy-Maximization Approach to Automated Training Set Generation\n for Interatomic Potentials
   2020/02/18 by Mariia Karabin, Karabin, Mariia, Danny Pérez +1 · 6 citations
   Computer Science · Engineering · Materials Science · #Advanced Memory and Neural Computing #Chemical Physics (physics.chem-ph) #Computational Physics (physics.comp-ph) #FOS: Physical sciences #Machine Learning in Materials Science #Neural Networks and Applications
3. Regression-based projection for learning Mori-Zwanzig operators
   2022/05/10 by Yen Ting Lin, Yifeng Tian, Lin, Yen Ting +5 · 2 citations
   Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
4. Information-entropy-driven generation of material-agnostic datasets for machine-learning interatomic potentials
   2024/07/14 by Aparna P. A. Subramanyam, Subramanyam, Aparna P. A., Danny Pérez +1 · 2 citations
   Materials Science · #FOS: Physical sciences #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci)
5. Uncertainty Quantification for Misspecified Machine Learned Interatomic Potentials
   2025/02/10 by Danny Pérez, Aparna P. A. Subramanyam, Perez, Danny +5 · 2 citations
   Decision Sciences · #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Scientific Measurement and Uncertainty Evaluation
6. Hierarchical Gaussian Process-Based Bayesian Optimization for Materials Discovery in High Entropy Alloy Spaces
   2024/10/06 by Sk Md Ahnaf Akif Alvi, Jan Janßen, Alvi, Sk Md Ahnaf Akif +9 · 3 citations
   Engineering · #Additive Manufacturing Materials and Processes #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)