13 citations · 13 across the 2 of their papers we have counts for
4 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…
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…
Illustrating an Effective Workflow for Accelerated Materials Discovery
Mrinalini Mulukutla, A. Nicole Person, Sven Voigt +26
Algorithmic materials discovery is a multi-disciplinary domain that integrates insights from specialists in alloy design, synthesis, characterization, experimental methodologies, c…