Turing-Type Catalytic 2 <scp>D</scp> -Metal Nanomesh Inside Silica-Bilayer for Multicomponent Reaction Control

Although Turing-like ordering is common at macroscopic scales, its realization in metal nanostructures has been hindered by the intrinsic tendency of metals toward symmetric growth and coarsening. Here, we report the first synthesis of a few-nanometer-scale Turing-type pattern in a metal catalyst, achieved through a Nano-Molecular Dual confinement (NanoMolD) strategy. A bilayer hollow silica nanoscaffold with a ∼2 nm internal cavity provides spatial confinement, while in situ self-assembly of a surfactant-palladium ion complex modulates precursor diffusion and surface deposition. This synergistic confinement produces an ultrathin two-dimensional palladium nanomesh with periodic, curved "Turing" stripes encased in silica. The 2D nanomesh features a high density of under-coordinated Pd atoms and twin boundaries, forming a unique catalytic architecture. As a result, this catalyst enables multicomponent carbonylative coupling reactions (e.g., Sonogashira, Suzuki-Miyaura, Buchwald-Hartwig, and alcohol coupling) with exceptional efficiency, affording ≥95-99% yields from aryl iodides and appreciable activity with bromides and chlorides. Furthermore, the confined nanomesh facilitates a one-pot sequential semihydrogenation of the intermediate alkynyl ketone to an α, β-unsaturated ketone (chalcone) by simply introducing H<sub>2</sub>, with tunable selectivity governed by the nanostructure. The Turing-type nanomesh is stable, fully recyclable, and demonstrates how nanoscale reaction-diffusion structuring can unlock new capabilities in heterogeneous catalysis.

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Journal
Journal of the American Chemical Society
Published
2025-10-23
DOI
https://doi.org/10.1021/jacs.5c15063
Citations
1
Primary Topic
Advanced Memory and Neural Computing
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article
Field-Weighted Citation Impact
0.73
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Turing-Type Catalytic 2 D -Metal Nanomesh Inside Silica-Bilayer for Multicomponent Reaction Control

Ankur Maji, Si‐Young Choi, Sampathkumar Jeevanandham, In Su Lee et al.
1 citations
Journal of the American Chemical Society
Advanced Memory and Neural Computing
0.73
article

Turing-Type Catalytic 2 D -Metal Nanomesh Inside Silica-Bilayer for Multicomponent Reaction Control

Ankur Maji, Si‐Young Choi, Sampathkumar Jeevanandham, In Su Lee, Yongju Yun, Hee Cheul Choi, Chaeyeon Kim, Nitee Kumari, Gi‐Yeop Kim, Yu‐Rim Hong, Amit Kumar, Min Gyu Kim, Young Joo Lee, Dongmin Lee, J. de Nó, Byeong Su Gu
article en
1 citations

Abstract

Although Turing-like ordering is common at macroscopic scales, its realization in metal nanostructures has been hindered by the intrinsic tendency of metals toward symmetric growth and coarsening. Here, we report the first synthesis of a few-nanometer-scale Turing-type pattern in a metal catalyst, achieved through a Nano-Molecular Dual confinement (NanoMolD) strategy. A bilayer hollow silica nanoscaffold with a ∼2 nm internal cavity provides spatial confinement, while in situ self-assembly of a surfactant-palladium ion complex modulates precursor diffusion and surface deposition. This synergistic confinement produces an ultrathin two-dimensional palladium nanomesh with periodic, curved "Turing" stripes encased in silica. The 2D nanomesh features a high density of under-coordinated Pd atoms and twin boundaries, forming a unique catalytic architecture. As a result, this catalyst enables multicomponent carbonylative coupling reactions (e.g., Sonogashira, Suzuki-Miyaura, Buchwald-Hartwig, and alcohol coupling) with exceptional efficiency, affording ≥95-99% yields from aryl iodides and appreciable activity with bromides and chlorides. Furthermore, the confined nanomesh facilitates a one-pot sequential semihydrogenation of the intermediate alkynyl ketone to an α, β-unsaturated ketone (chalcone) by simply introducing H<sub>2</sub>, with tunable selectivity governed by the nanostructure. The Turing-type nanomesh is stable, fully recyclable, and demonstrates how nanoscale reaction-diffusion structuring can unlock new capabilities in heterogeneous catalysis.

Journal of the American Chemical SocietyVol. 147(44)
Pohang University of Science and Technology (KR), Seoul Metropolitan Government (KR), Korea Basic Science Institute (KR), Chung-Ang University (KR)
Openalex Percentile: Top 22%
Advanced Memory and Neural Computing
0.73
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