most citedMapping of Microstructure Transitions during Rapid Alloy Solidification Using Bayesian-Guided Phase-Field Simulations

5 citations · 9 across the 4 of their papers we have counts for

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cond-mat.mtrl-sci2025

Good Enough is Better: Feasibility vs. Pareto-Optimality in Alloy Design

Cayden Maguire, Christofer Hardcastle, Trevor Hastings +2

In alloy design, the search for candidate materials is often framed as an optimization problem, with the goal of identifying Pareto-optimal solutions across multiple objectives. Ho…

cond-mat.mtrl-sci2025

Deep Gaussian Process-based Cost-Aware Batch Bayesian Optimization for Complex Materials Design Campaigns

Sk Md Ahnaf Akif Alvi, Brent Vela, Vahid Attari +4

The accelerating pace and expanding scope of materials discovery demand optimization frameworks that efficiently navigate vast, nonlinear design spaces while judiciously allocating…

cond-mat.mtrl-sci20255 cited

Mapping of Microstructure Transitions during Rapid Alloy Solidification Using Bayesian-Guided Phase-Field Simulations

José Mancias, Brent Vela, Juan Flórez-Coronel +4

This study addresses microstructure selection mechanisms in rapid solidification, specifically targeting the transition from cellular/dendritic to planar interface morphologies und…

cond-mat.mtrl-sci20243 cited

Performance-driven Computational Design of Multi-terminal Compositionally Graded Alloy Structures using Graphs

Marshall D. Allen, Vahid Attari, Brent Vela +3

The spatial control of material placement afforded by metal additive manufacturing (AM) has enabled significant progress in the development and implementation of compositionally gr…

cond-mat.mtrl-sci20241 cited

Visualizing High Entropy Alloy Spaces: Methods and Best Practices

Brent Vela, Trevor Hastings, Raymundo Arróyave

Multi-Principal Element Alloys (MPEAs) have emerged as an exciting area of research in materials science in the 2020s, owing to the vast potential for discovering alloys with uniqu…