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Updated: Jun 4, 2026

Discovery and Synthesis Optimization of Isoreticular Al(III) Phosphonate-Based Metal-Organic Framework Compounds Using High-Throughput Methods
Published on: October 6, 2023
Accelerated Oxide Materials Discovery Through High-Throughput Synthesis and Characterization
Qian Du1,2,3, Renju Lin1,2,3, Tianyu Zhang1,2,3
1State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai, China.
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Complex oxides host diverse physical phenomena and multifunctional responses, making them central to next-generation information storage, energy conversion, and smart sensing technologies. Among them, pyrochlore dielectrics, characterized by moderate permittivity and low hysteresis loss, are attractive candidates for high-energy-density capacitors. However, conventional trial-and-error strategies for exploring complex oxide phase space remain time-consuming and inefficient, limiting materials discovery. Here, we establish a high-throughput combinatorial workflow that integrates accelerated hydrothermal synthesis, droplet-based transmission electron microscopy sample preparation, and multi-modal phase characterization. Screening sixteen compositional variants resulted in nine distinct phases, including two ion-conducting oxides (Li3TaO4 and Li3NbO4), four perovskites (NaTaO3, NaNbO3, KTaO3, and KNbO3), two cation-deficient perovskites (Ba5Ta4O15 and Ba5Nb4O15), and a previously unreported pyrochlore-type oxide, CsTa2O6-X. Atomic-resolution scanning transmission electron microscopy resolves its structural framework, while measurements from a ferroelectric analyzer demonstrate that its dielectric energy storage performance is on par with that of advanced paraelectric or linear dielectric ceramics, with an efficiency of 96.5%. Collectively, this work demonstrates an accelerated discovery paradigm for functional oxides by coupling high-throughput hydrothermal phase screening, automated sample preparation and structural characterization, and cross-scale structure-property correlation, providing a scalable route toward rapid exploration of complex oxide materials.
