5 citations · 9 across the 4 of their papers we have counts for
7 papers
Agentic Resource Allocation for Batch Multi-Objective Bayesian Optimization in Autonomous Materials Discovery
Robert Robinson, Shakti Prasad Padhy, Sushant Sinha +6
The discovery and development of advanced materials is a challenging process constrained by the high time and monetary costs of synthesis, processing, and characterization. The und…
Portfolio-Based Constrained Multi-Objective Bayesian Optimization for Materials Design
Sushant Sinha, Christofer Hardcastle, Robert Robinson +4
Materials discovery and design campaigns can be formulated as constrained multi-objective Bayesian optimization (CMOBO) problems, within which each experimental decision negotiates…
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…
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…
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…
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…
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…