Raymundo Arróyave

24 papers A* 2A 1Journal 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery. CoRR Divyanshu Singh, Doguhan Saritürk, Cameron Lea, Md Shafiqul Islam, Raymundo Arróyave, Vahid Attari
2026	J	`jnl`	Simulated Annealing-based Candidate Optimization for Batch Acquisition Functions. CoRR Sk Md Ahnaf Akif Alvi, Raymundo Arróyave, Douglas L. Allaire
2026	J	`jnl`	The Kernel Manifold: A Geometric Approach to Gaussian Process Model Selection. CoRR Md Shafiqul Islam, Shakti Prasad Padhy, Douglas L. Allaire, Raymundo Arróyave
2025	J	`jnl`	A Materials Foundation Model via Hybrid Invariant-Equivariant Architectures. CoRR Keqiang Yan, Montgomery Bohde, Andrii Kryvenko, Ziyu Xiang, Kaiji Zhao, Siya Zhu, Saagar Kolachina, Doguhan Saritürk, Jianwen Xie, Raymundo Arróyave, Xiaoning Qian, Xiaofeng Qian, Shuiwang Ji
2025	J	`jnl`	Accurate and Uncertainty-Aware Multi-Task Prediction of HEA Properties Using Prior-Guided Deep Gaussian Processes. CoRR Sk Md Ahnaf Akif Alvi, Mrinalini Mulukutla, Nicolas Flores, Danial Khatamsaz, Jan Janssen, Danny Perez, Douglas L. Allaire, Vahid Attari, Raymundo Arróyave
2025	J	`jnl`	Data Driven Insights into Composition Property Relationships in FCC High Entropy Alloys. CoRR Nicolas Flores, Daniel Salas Mula, Wenle Xu, Sahu Bibhu, Daniel Lewis, Alexandra Eve Salinas, Samantha Mitra, Raj Mahat, Surya R. Kalidindi, Justin Wilkerson, James Paramore, Ankit Srivastiva, George Pharr, Douglas L. Allaire, Ibrahim Karaman, Brady Butler, Vahid Attari, Raymundo Arróyave
2025	J	`jnl`	Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns. CoRR Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari, Jan Janssen, Danny Perez, Douglas L. Allaire, Raymundo Arróyave
2025	J	`jnl`	Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation. CoRR Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2025	J	`jnl`	Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design. CoRR Christofer Hardcastle, Ryan O. Mullan, Raymundo Arróyave, Brent Vela
2025	J	`jnl`	Toward Greater Autonomy in Materials Discovery Agents: Unifying Planning, Physics, and Scientists. CoRR Lianhao Zhou, Hongyi Ling, Keqiang Yan, Kaiji Zhao, Xiaoning Qian, Raymundo Arróyave, Xiaofeng Qian, Shuiwang Ji
2025	J	`jnl`	Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development. CoRR Danial Khatamsaz, Joseph Wagner, Brent Vela, Raymundo Arróyave, Douglas L. Allaire
2024	J	`jnl`	Accelerating CALPHAD-based Phase Diagram Predictions in Complex Alloys Using Universal Machine Learning Potentials: Opportunities and Challenges. CoRR Siya Zhu, Raymundo Arróyave, Doguhan Saritürk
2024	A*	`conf`	Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation. NeurIPS Keqiang Yan, Xiner Li, Hongyi Ling, Kenna Ashen, Carl Edwards, Raymundo Arróyave, Marinka Zitnik, Heng Ji, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji
2024	J	`jnl`	Label Propagation Training Schemes for Physics-Informed Neural Networks and Gaussian Processes. CoRR Ming Zhong, Dehao Liu, Raymundo Arróyave, Ulisses Braga-Neto
2024	A	`conf`	Multi-fidelity Bayesian Optimization with Multiple Information Sources of Input-dependent Fidelity. UAI Mingzhou Fan, Byung-Jun Yoon, Edward R. Dougherty, Nathan M. Urban, Francis J. Alexander, Raymundo Arróyave, Xiaoning Qian
2024	J	`jnl`	Supply Risk-Aware Alloy Discovery and Design. CoRR Mrinalini Mulukutla, Robert Robinson, Danial Khatamsaz, Brent Vela, Nhu Vu, Raymundo Arróyave
2023	J	`jnl`	Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity. Neural Networks Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arróyave
2023	J	`jnl`	Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples. CoRR Danial Khatamsaz, Vahid Attari, Raymundo Arróyave, Douglas L. Allaire
2023	J	`jnl`	Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery. Patterns Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty
2021	A*	`conf`	Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science. AAAI Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian
2020	J	`jnl`	Deep Multimodal Transfer-Learned Regression in Data-Poor Domains. CoRR Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave
2019	J	`jnl`	Numerical and experimental analysis of heat distribution in the laser powder bed fusion of Ti-6Al-4V. IISE Trans. Kubra Karayagiz, Alaa Elwany, Gustavo Tapia, Brian Franco, Luke Johnson, Ji Ma, Ibrahim Karaman, Raymundo Arróyave
2018	J	`jnl`	Fast Exact Computation of Expected HyperVolume Improvement. CoRR Guang Zhao, Raymundo Arróyave, Xiaoning Qian
2014	J	`jnl`	Prediction of processing maps for transient liquid phase diffusion bonding of Cu/Sn/Cu joints in microelectronics packaging. Microelectron. Reliab. M. S. Park, S. L. Gibbons, Raymundo Arróyave