Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

doi:doi:10.57702/h65lunj2

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Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery

High-throughput materials discovery involves the rapid synthesis, measurement, and characterization of many different but structurally-related materials. A key problem in materials discovery, the phase map identiﬁcation problem, involves the determination of the crystal phase diagram from the materials composition and structural characterization data.

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Junwen Bai, Ronan Le Bras, Brendan Rappazzo, Yexiang Xue, Richard Bernstein, Johan Bjorck, Liane Longpre, Santosh K. Suram, Robert B. van Dover, John Gregoire, Carla P. Gomes (2025). Dataset: Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery. https://doi.org/10.57702/h65lunj2

DOI retrieved: January 2, 2025

Additional Info

Field	Value
Created	January 2, 2025
Last update	January 2, 2025
Defined In	https://doi.org/10.48550/arXiv.1610.00689
Author	Junwen Bai
More Authors	Ronan Le Bras Brendan Rappazzo Yexiang Xue Richard Bernstein Johan Bjorck Liane Longpre Santosh K. Suram Robert B. van Dover John Gregoire Carla P. Gomes