Multi-objective materials bayesian optimization with active learning of design constraints: Design of ductile refractory multi-principal-element alloys D Khatamsaz, B Vela, P Singh, DD Johnson, D Allaire, R Arróyave Acta Materialia 236, 118133, 2022 | 46 | 2022 |
Bayesian optimization with active learning of design constraints using an entropy-based approach D Khatamsaz, B Vela, P Singh, DD Johnson, D Allaire, R Arróyave npj Computational Materials 9 (1), 49, 2023 | 29 | 2023 |
High-throughput exploration of the WMoVTaNbAl refractory multi-principal-element alloys under multiple-property constraints B Vela, C Acemi, P Singh, T Kirk, W Trehern, E Norris, DD Johnson, ... Acta Materialia 248, 118784, 2023 | 19 | 2023 |
A ductility metric for refractory-based multi-principal-element alloys P Singh, B Vela, G Ouyang, N Argibay, J Cui, R Arroyave, DD Johnson Acta Materialia 257, 119104, 2023 | 18 | 2023 |
A perspective on Bayesian methods applied to materials discovery and design R Arróyave, D Khatamsaz, B Vela, R Couperthwaite, A Molkeri, P Singh, ... MRS communications 12 (6), 1037-1049, 2022 | 15 | 2022 |
Data-augmented modeling for yield strength of refractory high entropy alloys: A bayesian approach B Vela, D Khatamsaz, C Acemi, I Karaman, R Arróyave Acta Materialia 261, 119351, 2023 | 13 | 2023 |
Evaluating the intrinsic resistance to balling of alloys: A high-throughput physics-informed and data-enabled approach B Vela, S Mehalic, S Sheikh, A Elwany, I Karaman, R Arróyave Additive Manufacturing Letters 3, 100085, 2022 | 9 | 2022 |
Entropy-driven melting point depression in fcc HEAs T Kirk, B Vela, S Mehalic, K Youssef, R Arróyave Scripta Materialia 208, 114336, 2022 | 9 | 2022 |
An automated fully-computational framework to construct printability maps for additively manufactured metal alloys S Sheikh, M Ranaiefar, P Honarmandi, B Vela, P Morcos, D Shoukr, ... arXiv preprint arXiv:2304.04113, 2023 | 5 | 2023 |
Multi-objective Bayesian alloy design using multi-task Gaussian processes D Khatamsaz, B Vela, R Arróyave Materials Letters 351, 135067, 2023 | 4 | 2023 |
Alloying effects on the transport properties of refractory high-entropy alloys P Singh, C Acemi, A Kuchibhotla, B Vela, P Sharma, W Zhang, P Mason, ... Acta Materialia 276, 120032, 2024 | 3 | 2024 |
High-throughput alloy and process design for metal additive manufacturing S Sheikh, B Vela, P Honarmandi, P Morcos, D Shoukr, AM Kotb, ... arXiv preprint arXiv:2304.04149, 2023 | 3 | 2023 |
Exploring chemistry and additive manufacturing design spaces: a perspective on computationally-guided design of printable alloys S Sheikh, B Vela, V Attari, X Huang, P Morcos, J Hanagan, C Acemi, ... Materials Research Letters 12 (4), 235-263, 2024 | 2 | 2024 |
Understanding the effect of refractory metal chemistry on the stacking fault energy and mechanical property of Cantor-based multi-principal element alloys P Singh, W Trehern, B Vela, P Sharma, T Kirk, Z Pei, R Arroyave, MC Gao, ... International Journal of Plasticity, 104020, 2024 | 1 | 2024 |
Entropy-driven melting point depression in fcc HEAs K Tanner, B Vela, S Mehalic, K Youssef, R Arróyave Elsevier, 2022 | | 2022 |
Evaluating the Intrinsic Printability of Alloys: A High-Throughput Data-Enabled and Physics-Informed Approach B Vela, S Mehalic, S Sheikh, I Karaman, A Elwany, R Arroyave Available at SSRN 4033947, 2022 | | 2022 |
Visualizing High Entropy Alloy Spaces: Methods and Best Practices B Vela, T Hastings, R Arroyave Available at SSRN 4859664, 0 | | |
Data-Augmented Modeling for Melt Pool Dimensions in Laser Powder Bed Fusion: A Bayesian Approach P Morcos, B Vela, C Acemi, A Elwany, I Karaman, R Arroyave Available at SSRN 4814164, 0 | | |
Stacking-Fault Engineering in Refractory Metal-Reinforced Cantor-Based Multi-Principal Element Alloy P Singh, W Trehern, B Vela, P Sharma, T Kirk, Z Pei, R Arroyave, M Gao, ... Duane D., Stacking-Fault Engineering in Refractory Metal-Reinforced Cantor …, 0 | | |