30 citations · 35 across the 4 of their papers we have counts for
5 papers
Combining physical models with dynamically acquired experimental information for the optimization of multicomponent NASICON fast ionic conductors in a self-driving laboratory
Bernardus Rendy, Yuxing Fei, Tanjin He +9
Elemental substitution within existing structural frameworks is a widely applied strategy for developing advanced materials. Yet, optimizing target properties while maintaining pha…
The Precursor Genome: A Pairwise Reaction Dataset for Solid-State Synthesis
Lauren N. Walters, Matthew J. McDermott, Bernardus Rendy +3
Solid-state reactions remain the dominant route to inorganic materials, yet no large, machine-readable dataset reports their experimental protocols and outcomes with consistent pro…
Generative Models for Crystalline Materials
Houssam Metni, Laura Ruple, Lauren N. Walters +13
Understanding structure-property relationships in materials is fundamental in condensed matter physics and materials science. Over the past few years, machine learning (ML) has eme…
Synthetic accessibility and sodium ion conductivity of the NaAPO (NAP) high-temperature sodium superionic conductor framework
Lauren N. Walters, Yuxing Fei, Bernardus Rendy +13
Advancement of solid state electrolytes (SSEs) for all solid state batteries typically focuses on modification of a parent structural framework for improved conductivity, \textit{e…
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories
Yuxing Fei, Bernardus Rendy, Rishi Kumar +10
The recent advent of autonomous laboratories, coupled with algorithms for high-throughput screening and active learning, promises to accelerate materials discovery and innovation.…