Login / Signup

Remote-Triggered Domino-like Cyclodehydrogenation in Second-Layer Topological Graphene Nanoribbons.

Chuanxu MaJufeng WangHuanhuan MaRuoting YinXin-Jing ZhaoHongjian DuXinyong MengYifan KeWei HuBin LiShijing TanYuan-Zhi TanJinglong YangBing Wang
Published in: Journal of the American Chemical Society (2023)
Cyclodehydrogenation reactions in the on-surface synthesis of graphene nanoribbons (GNRs) usually involve a series of C sp2 -C sp2 and/or C sp2 -C sp3 couplings and just happen on uncovered metal or metal oxide surfaces. It is still a big challenge to extend the growth of second-layer GNRs in the absence of necessary catalytic sites. Here, we demonstrate the direct growth of topologically nontrivial GNRs via multistep C sp2 -C sp2 and C sp2 -C sp3 couplings in the second layer by annealing designed bowtie-shaped precursor molecules over one monolayer on the Au(111) surface. After annealing at 700 K, most of the polymerized chains that appear in the second layer covalently link to the first-layer GNRs that have partially undergone graphitization. Following annealing at 780 K, the second-layer GNRs are formed and linked to the first-layer GNRs. Benefiting from the minimized local steric hindrance of the precursors, we suggest that the second-layer GNRs undergo domino-like cyclodehydrogenation reactions that are remotely triggered at the link. We confirm the quasi-freestanding behaviors in the second-layer GNRs by measuring the quasiparticle energy gap of topological bands and the tunable Kondo resonance from topological end spins using scanning tunneling microscopy/spectroscopy combined with first-principles calculations. Our findings pave the avenue to diverse multilayer graphene nanostructures with designer quantum spins and topological states for quantum information science.
Keyphrases
  • high resolution
  • mass spectrometry
  • machine learning
  • optical coherence tomography
  • escherichia coli
  • single molecule
  • pseudomonas aeruginosa
  • molecular dynamics simulations
  • room temperature
  • carbon nanotubes
  • big data