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

doi:doi:10.57702/h65lunj2

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.

BibTex:

@dataset{Junwen_Bai_and_Ronan_Le_Bras_and_Brendan_Rappazzo_and_Yexiang_Xue_and_Richard_Bernstein_and_Johan_Bjorck_and_Liane_Longpre_and_Santosh_K_Suram_and_Robert_B_van_Dover_and_John_Gregoire_and_Carla_P_Gomes_2025,
    abstract = {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.},
    author = {Junwen Bai and Ronan Le Bras and Brendan Rappazzo and Yexiang Xue and Richard Bernstein and Johan Bjorck and Liane Longpre and Santosh K. Suram and Robert B. van Dover and John Gregoire and Carla P. Gomes},
    doi = {10.57702/h65lunj2},
    institution = {No Organization},
    keyword = {'Artificial intelligence', 'Machine learning', 'Materials discovery', 'Phase mapping'},
    month = {jan},
    publisher = {TIB},
    title = {Phase-Mapper: An AI Platform to Accelerate High Throughput Materials Discovery},
    url = {https://service.tib.eu/ldmservice/dataset/phase-mapper--an-ai-platform-to-accelerate-high-throughput-materials-discovery},
    year = {2025}
}