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Brent Vela
Brent Vela
Graduate Research Assistant, Texas A&M University
Verified email at tamu.edu
Title
Cited by
Cited by
Year
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
332022
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
212023
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
162023
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
102022
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
92023
Entropy-driven melting point depression in fcc heas
T Kirk, B Vela, S Mehalic, K Youssef, R Arróyave
Scripta Materialia 208, 114336, 2022
92022
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
82023
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
72022
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
42023
Multi-objective Bayesian alloy design using multi-task Gaussian processes
D Khatamsaz, B Vela, R Arróyave
Materials Letters 351, 135067, 2023
22023
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
22023
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, ...
Available at SSRN 4723754, 2024
12024
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
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
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
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