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20202026
most citedCOVIDScholar: An automated COVID-19 research aggregation and analysis platform

6 citations · 15 across the 7 of their papers we have counts for

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cond-mat.mtrl-sci2026

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…

cond-mat.mtrl-sci2026

Agentic LLM Reasoning in a Self-Driving Laboratory for Air-Sensitive Lithium Halide Spinel Conductors

Yuxing Fei, Bernardus Rendy, Xiaochen Yang +7

Self-driving laboratories promise to accelerate materials discovery. Yet current automated solid-state synthesis platforms are limited to ambient conditions, thereby precluding the…

cond-mat.mtrl-sci20255 cited

Dara: Automated multiple-hypothesis phase identification and refinement from powder X-ray diffraction

Yuxing Fei, Matthew J. McDermott, Christopher L. Rom +2

Powder X-ray diffraction (XRD) is a foundational technique for characterizing crystalline materials. However, the reliable interpretation of XRD patterns, particularly in multiphas…

cond-mat.mtrl-sci2025

Ion correlations explain kinetic selectivity in diffusion-limited solid state synthesis reactions

Vir Karan, Max C. Gallant, Yuxing Fei +2

Establishing viable solid-state synthesis pathways for novel inorganic materials remains a major challenge in materials science. Previous pathway design methods using pair-wise rea…

cond-mat.mtrl-sci20251 cited

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…

cond-mat.mtrl-sci2024

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.…