3 citations · 7 across the 6 of their papers we have counts for
6 papers
Physics-Informed Gaussian Process Classification for Constraint-Aware Alloy Design
Christofer Hardcastle, Ryan O Mullan, Raymundo Arroyave +1
Alloy design can be framed as a constraint-satisfaction problem. Building on previous methodologies, we propose equipping Gaussian Process Classifiers (GPCs) with physics-informed…
Towards Autonomous Experimentation: Bayesian Optimization over Problem Formulation Space for Accelerated Alloy Development
Danial Khatamsaz, Joseph Wagner, Brent Vela +2
Accelerated discovery in materials science demands autonomous systems capable of dynamically formulating and solving design problems. In this work, we introduce a novel framework t…
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…
High-throughput Alloy and Process Design for Metal Additive Manufacturing
Sofia Sheikh, Brent Vela, Pejman Honarmandi +6
Designing alloys for additive manufacturing (AM) presents significant opportunities. Still, the chemical composition and processing conditions required for printability (ie., their…
An Automated Fully-Computational Framework to Construct Printability Maps for Additively Manufactured Metal Alloys
Sofia Sheikh, Meelad Ranaiefar, Pejman Honarmandi +6
In additive manufacturing, the optimal processing conditions need to be determined to fabricate porosity-free parts. For this purpose, the design space for an arbitrary alloy needs…