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Updated: Jul 4, 2026

07:20
Discovery and Synthesis Optimization of Isoreticular Al(III) Phosphonate-Based Metal-Organic Framework Compounds Using High-Throughput Methods
Published on: October 6, 2023
Accelerated discovery of NO3RR single-atom catalysts via high-throughput DFT and machine learning
Haidi Yang1,2, Ying Zhao1,2, Shuo Cui1,2
1Yantai Research Institute, Harbin Engineering University, Yantai, 264000, China. yingz@amgm.ac.cn.
Abstract
None:
High-throughput DFT and interpretable ML identify Zr/g-C2N and Ti/g-C2NC as highly active NO3RR catalysts, with limiting free-energy changes of 0.30 and 0.34 eV, respectively. SHAP analysis reveals that metal electronic structure, charge transfer, and adsorbate bonding govern nitrate activation and key hydrogenation steps.
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