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RESEARCH PAPER · Frontiers in Chemistry · 2021

Towards Predictive Synthesis of Inorganic Materials Using Network Science

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Towards Predictive Synthesis of Inorganic Materials Using Network ScienceOriginalOn Stars and Spikes: Resolving the Skeletal Morphology of Planktonic Acantharia Using Synchrotron X-Ray Nanotomography and Deep Learning Image Segmentation8Process design for calcination of nickel-based cathode materials by in situ characterization and multiscale modeling19Topochemical Modulations from 1D Iron Fluoride Precursor to 3D Frameworks0Advanced methods for characterizing battery interfaces: Towards a comprehensive understanding of interfacial evolution in modern batteries14Quest for new materials: Network theory and machine learning perspectives3

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  1. On Stars and Spikes: Resolving the Skeletal Morphology of Planktonic Acantharia Using Synchrotron X-Ray Nanotomography and Deep Learning Image Segmentation

    SSRN Electronic Journal · 2022-01-01

    Dawn Raja Somu, Timothy Cracchiolo, Elena Longo, Imke Greving, Vivian M. Merk

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  2. Process design for calcination of nickel-based cathode materials by in situ characterization and multiscale modeling

    Journal of materials research/Pratt's guide to venture capital sources · 2022-08-29

    Feng Wang, Pallab Barai, Özgenur Kahvecioğlu, Krzysztof Pupek, Jianming Bai, Venkat N. Srinivasan

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  3. Topochemical Modulations from 1D Iron Fluoride Precursor to 3D Frameworks

    Inorganic Chemistry · 2024-07-22

    Arindam Ghosh, Dereje Bekele Tekliye, Emily Foley, Varimalla Raghavendra Reddy, Raphaële J. Clément, Gopalakrishnan Sai Gautam, Premkumar Senguttuvan

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  4. Advanced methods for characterizing battery interfaces: Towards a comprehensive understanding of interfacial evolution in modern batteries

    Energy storage materials · 2024-10-03

    Israel Temprano, Javier Carrasco, Matthieu Bugnet, Ivan T. Lucas, Jigang Zhou, Robert S. Weatherup, Christopher A. O’Keefe, Zachary M. Ruff, Jiahui Xu, Nicolas Folastre, Jian Wang, Antonin Gajan, Arnaud Demortière

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  5. Quest for new materials: Network theory and machine learning perspectives

    Physical review. E · 2025-06-05

    Jacopo Moi, Davide Spallarossa, Stefano Bonetti, Raffaella Burioni, Guido Caldarelli

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