Raymundo Arróyave

According to our database, Raymundo Arróyave authored at least 8 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Knowledge-driven learning, optimization, and experimental design under uncertainty for materials discovery.

Xiaoning Qian, Byung-Jun Yoon, Raymundo Arróyave, Xiaofeng Qian, Edward R. Dougherty

Patterns, November, 2023

Deep learning-accelerated computational framework based on Physics Informed Neural Network for the solution of linear elasticity.

Arunabha M. Roy, Rikhi Bose, Veera Sundararaghavan, Raymundo Arróyave

Neural Networks, May, 2023

Efficient Propagation of Uncertainty via Reordering Monte Carlo Samples.

Danial Khatamsaz, Vahid Attari, Raymundo Arróyave, Douglas L. Allaire

CoRR, 2023

2021

Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science.

Ziyu Xiang, Mingzhou Fan, Guillermo Vázquez Tovar, William Trehern, Byung-Jun Yoon, Xiaofeng Qian, Raymundo Arróyave, Xiaoning Qian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Deep Multimodal Transfer-Learned Regression in Data-Poor Domains.

Levi D. McClenny, Mulugeta A. Haile, Vahid Attari, Brian M. Sadler, Ulisses M. Braga-Neto, Raymundo Arróyave

CoRR, 2020

2019

Numerical and experimental analysis of heat distribution in the laser powder bed fusion of Ti-6Al-4V.

Kubra Karayagiz, Alaa Elwany, Gustavo Tapia, Brian Franco, Luke Johnson, Ji Ma, Ibrahim Karaman, Raymundo Arróyave

IISE Trans., 2019

2018

Fast Exact Computation of Expected HyperVolume Improvement.

Guang Zhao, Raymundo Arróyave, Xiaoning Qian

CoRR, 2018

2014

Prediction of processing maps for transient liquid phase diffusion bonding of Cu/Sn/Cu joints in microelectronics packaging.

M. S. Park, S. L. Gibbons, Raymundo Arróyave

Microelectron. Reliab., 2014