3 citations · 6 across the 7 of their papers we have counts for
7 papers
A BRAVE Alloy Design Campaign (Bayesian Risk-aware Alloy discoVery and Exploration)
Mrinalini Mulukutla, Danial Khatamsaz, Trevor Hastings +23
In constrained alloy optimization, the compositions with the highest performance potential often reside at the boundary of phase stability -- where the risk of experimental failure…
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…
Supply Risk-Aware Alloy Discovery and Design
Mrinalini Mulukutla, Robert Robinson, Danial Khatamsaz +3
Materials design is a critical driver of innovation, yet overlooking the technological, economic, and environmental risks inherent in materials and their supply chains can lead to…
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…
A ductility metric for refractory-based multi-principal-element alloys
Prashant Singh, Brent Vela, Gaoyuan Ouyang +4
We propose a quantum-mechanical dimensionless metric, the locallattice distortion (LLD), as a reliable predictor of ductility in refractory multi-principal-element alloys (RMPEA…