Evidence map›Paper›PMID 42438335›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2026

Sub-3 nm Ruthenium Nanopatterns Enabled by Pattern Transfer From Supramolecular Dendrimer Templates.

Yeongjae Ham, Gwangyeop Kim, Kangho Park, Wonmoo Lee, Euijin Lee, Aqil Jamal, Issam Gereige, Ahyeon Cho, Kiok Kwon, Hee-Tae Jung

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yeongjae HamNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Gwangyeop KimNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Kangho ParkNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Wonmoo LeeNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Euijin LeeNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Aqil JamalAramco-KAIST CO2 Management Center, KAIST, Daejeon, Republic of Korea.
Issam GereigeAramco-KAIST CO2 Management Center, KAIST, Daejeon, Republic of Korea.
Ahyeon ChoNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Kiok KwonGreen Chemistry and Materials Group, Research Institute of Sustainable Manufacturing System, Korea Institute of Industrial Technology, Cheonan, Republic of Korea.ORCID https://orcid.org/0000-0002-7443-0893
Hee-Tae JungNational Laboratory for Organic Opto-Electronics Materials Laboratory, Department of Chemical and Biomolecular Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

Funding

Korea Institute of Energy Technology Evaluation and PlanningMinistry of Trade, Industry & Energy RS-2024-00402410National Research Foundation of Korea RS-2024-00337239Samsung Electronics Co., Ltd IO201211-08063-01Saudi Aramco-KAIST CO2 Management Center
6 · The paper itself

Abstract

The fabrication of inorganic-based nanopatterns with feature sizes below 3 nm remains a fundamental challenge in nanoscience and advanced manufacturing. Existing approaches, including extreme ultraviolet lithography, block copolymer self-assembly, and colloidal nanocrystal patterning, struggle to reliably achieve such dimensions while maintaining long-range order and structural fidelity. Here, we present a pattern transfer technique from a supramolecular dendrimer templating strategy that enables highly ordered sub-3 nm ruthenium-based nanostructures over large areas (1 µm × 1 µm). The pristine dendrimer template forms a hexagonally packed cylindrical morphology with sub-5 nm periodicity, exhibiting structural stability and long-range order. Thermal annealing induces cooperative self-assembly into a single-domain array, which is selectively stained with RuO

Indexed as

bottom‐up lithographyinorganic nanopatternselective stainingsupramolecular dendrimer

Identifiers

PMID42438335
PMCPMC13471812

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.