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20232026
most citedAssessing Thermodynamic Selectivity of Solid-State Reactions for the Predictive Synthesis of Inorganic Materials

38 citations · 69 across the 9 of their papers we have counts for

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10 papers · 1 filter

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-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

Data-Driven Design-Test-Make-Analyze Paradigm for Inorganic Crystals: Ultrafast Synthesis of Ternary Oxides

Haiwen Dai, Matthew J. McDermott, Andy Paul Chen +19

Data-driven methodologies hold the promise of revolutionizing inorganic materials discovery, but they often face challenges due to discrepancies between theoretical predictions and…

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

ReactCA: A Cellular Automaton for Predicting Phase Evolution in Solid-State Reactions

Max C. Gallant, Matthew J. McDermott, Bryant Li +1

New computational tools for solid-state synthesis recipe design are needed in order to accelerate the experimental realization of novel functional materials proposed by high-throug…

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.…