We focus on
Precise Synthesis
J. Am. Chem. Soc. 146, 13519 (2024)； Nat. Commun. 14, 3790 (2023)； Proc. Natl. Acad. Sci. U.S.A. 118, e2105722118 (2021)
Introducing trace Te atoms and regulating their surface density modifies the relative surface energies of different facets, thermodynamically stabilizing specific high-index facets. This allows precise control over the shape and exposed facets of metal nanoparticles and is applicable to multimetallic alloy systems.
High-Throughput Synthesis
J. Am. Chem. Soc. 144, 4792 (2022)； ACS Nano 17, 4642 (2023)； J. Am. Chem. Soc. 142, 4570 (2020)
Uses SPBCL two-step seed-mediated method to achieve regioselective metal deposition on nanoparticles based on bond strength and lattice mismatch, enabling controllable synthesis of multimetallic nanostructures.
AI-Driven Materials Design
Nat. Synth. 5, 489 (2026)； Nat. Synth. 3, 922 (2024)
A data-driven method combining high-throughput DFT and machine learning is proposed to accurately predict and synthesize nanoparticles with high-index facets, revealing key regulatory features for catalytic and photonic materials.