Raymundo Arróyave

1. Multi-Objective Bayesian Materials Discovery: Application on the\n Discovery of Precipitation Strengthened NiTi Shape Memory Alloys through\n Micromechanical Modeling
   2018/07/18 by Αλέξανδρος Σολωμού, Solomou, Alexandros, Guang Zhao +13 · 1 citation
   Materials Science · #Machine Learning in Materials Science
2. Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges
   2024/11/22 by Siya Zhu, Raymundo Arróyave, Zhu, Siya +3 · 5 citations
   Engineering · Materials Science · #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Microstructure and Mechanical Properties of Steels #X-ray Diffraction in Crystallography
3. Deep Multimodal Transfer-Learned Regression in Data-Poor Domains
   2020/06/16 by Levi D. McClenny, McClenny, Levi, Mulugeta Haile +9 · 1 citation
   Computer Science · Materials Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Solidification and crystal growth phenomena
4. Two-Shot Optimization of Compositionally Complex Refractory Alloys
   2024/05/12 by James D. Paramore, Brady G. Butler, Paramore, James D. +23 · 2 citations
   Earth and Planetary Sciences · Materials Science · Engineering · #High-pressure geophysics and materials #Nuclear Materials and Properties #Advanced materials and composites
5. Microstructure-Aware Bayesian Materials Design
   2025/02/06 by Danial Khatamsaz, Khatamsaz, Danial, Vahid Attari +3 · 3 citations
   Engineering · #Manufacturing Process and Optimization
6. Fast Exact Computation of Expected HyperVolume Improvement
   2018/12/18 by Guang Zhao, Zhao, Guang, Raymundo Arróyave +3 · 1 citation
   Computer Science · Engineering · #Advancements in Photolithography Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #VLSI and Analog Circuit Testing #VLSI and FPGA Design Techniques
7. Visualizing High Entropy Alloy Spaces: Methods and Best Practices
   2024/08/14 by Brent Vela, Trevor Hastings, Vela, Brent +3 · 2 citations
   Engineering · #Advanced Materials Characterization Techniques #Computational Physics (physics.comp-ph) #FOS: Physical sciences #High Entropy Alloys Studies #Materials Science (cond-mat.mtrl-sci)
8. Hierarchical Gaussian Process-Based Bayesian Optimization for Materials Discovery in High Entropy Alloy Spaces
   2024/10/06 by Sk Md Ahnaf Akif Alvi, Alvi, Sk Md Ahnaf Akif, Jan Janßen +9 · 3 citations
   Engineering · #Additive Manufacturing Materials and Processes #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
9. Performance-driven Computational Design of Multi-terminal Compositionally Graded Alloy Structures using Graphs
   2024/12/04 by Marshall Allen, Allen, Marshall D., Vahid Attari +9 · 1 citation
   Engineering · Materials Science · #Additive Manufacturing and 3D Printing Technologies #Manufacturing Process and Optimization #Material Selection and Properties
10. Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design
    2025/02/17 by Hardcastle, Christofer, Ryan O Mullan, Mullan, Ryan O +4 · 2 citations
    Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization #Materials Science (cond-mat.mtrl-sci)