| Towards stacking fault energy engineering in FCC high entropy alloys TZ Khan, T Kirk, G Vazquez, P Singh, AV Smirnov, DD Johnson, ... Acta Materialia 224, 117472, 2022 | 76 | 2022 |
| Efficient machine-learning model for fast assessment of elastic properties of high-entropy alloys G Vazquez, P Singh, D Sauceda, R Couperthwaite, N Britt, K Youssef, ... Acta Materialia 232, 117924, 2022 | 43 | 2022 |
| High-throughput reaction engineering to assess the oxidation stability of MAX phases D Sauceda, P Singh, AR Falkowski, Y Chen, T Doung, G Vazquez, ... npj Computational Materials 7 (1), 6, 2021 | 22 | 2021 |
| Machine-learning enabled thermodynamic model for the design of new rare-earth compounds P Singh, T Del Rose, G Vazquez, R Arroyave, Y Mudryk Acta Materialia 229, 117759, 2022 | 18 | 2022 |
| An interpretable boosting-based predictive model for transformation temperatures of shape memory alloys SH Zadeh, A Behbahanian, J Broucek, M Fan, G Vazquez, M Noroozi, ... Computational Materials Science 226, 112225, 2023 | 16 | 2023 |
| Physics-constrained automatic feature engineering for predictive modeling in materials science Z Xiang, M Fan, GV Tovar, W Trehern, BJ Yoon, X Qian, R Arroyave, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10414 …, 2021 | 15 | 2021 |
| A deep neural network regressor for phase constitution estimation in the high entropy alloy system Al-Co-Cr-Fe-Mn-Nb-Ni G Vazquez, S Chakravarty, R Gurrola, R Arróyave npj Computational Materials 9 (1), 68, 2023 | 5 | 2023 |
| Deciphering Chemical Ordering in High Entropy Materials: A Machine Learning-Accelerated High-throughput Cluster Expansion Approach G Vazquez, D Sauceda, R Arróyave arXiv preprint arXiv:2403.18298, 2024 | | 2024 |
| Elaboración de un algoritmo metaheurístico para la obtención de estructuras cuasi-aleatorias como una herramienta de cálculos por primeros principios GV Tovar | | 2019 |
Raymundo ArroyaveProfessor of Materials Science and Engineering, Mechanical Engineering. Texas A&M在 tamu.edu 的电子邮件经过验证
