ReviewChemical science2024
Lateral nanoarchitectonics from nano to life: ongoing challenges in interfacial chemical science.
Review in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Nanoarchitectonics of molecular machines, biomolecular machines, and microrobots in their collective behaviour.Chemical science · 2026Review
- Fascinating Frontier, Nanoarchitectonics, as Method for Everything in Materials Science.Materials (Basel, Switzerland) · 2025Review
- From Inception to Innovation: 20 Years of Nanoarchitectonics.Chemistry, an Asian journal · 2025Review
- AI-Assisted Tools for Scientific Review Writing: Opportunities and Cautions.ACS applied materials & interfaces · 2025Review
- Motion-Controlled Photocatalytic Hydrogen Evolution Using Microrobots Designed with a Single Atomic-Level Precision.Journal of the American Chemical Society · 2025Article
- Dynamic Flow-Assisted Nanoarchitectonics.ACS applied materials & interfaces · 2025Review
- Layer-by-Layer Nanoarchitectonics: A Method for Everything in Layered Structures.Materials (Basel, Switzerland) · 2025Review
- Soft materials nanoarchitectonics: liquid crystals, polymers, gels, biomaterials, and others.Beilstein journal of nanotechnology · 2025Review
- Nano-/Microrobots for Environmental Remediation in the Eyes of Nanoarchitectonics: Toward Engineering on a Single-Atomic Scale.Research (Washington, D.C.) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lateral nanoarchitectonics is a method of precisely designing functional materials from atoms, molecules, and nanomaterials (so-called nanounits) in two-dimensional (2D) space using knowledge of nanotechnology. Similar strategies can be seen in biological systems; in particular, biological membranes ingeniously arrange and organise functional units within a single layer of units to create powerful systems for photosynthesis or signal transduction and others. When our major lateral nanoarchitectural approaches such as layer-by-layer (LbL) assembly and Langmuir-Blodgett (LB) films are compared with biological membranes, one finds that lateral nanoarchitectonics has potential to become a powerful tool for designing advanced functional nanoscale systems; however, it is still rather not well-developed with a great deal of unexplored possibilities. Based on such a discussion, this review article examines the current status of lateral nanoarchitectonics from the perspective of in-plane functional structure organisation at different scales. These include the extension of functions at the molecular level by on-surface synthesis, monolayers at the air-water interface, 2D molecular patterning, supramolecular polymers, macroscopic manipulation and functionality of molecular machines, among others. In many systems, we have found that while the targets are very attractive, the research is still in its infancy, and many challenges remain. Therefore, it is important to look at the big picture from different perspectives in such a comprehensive review. This review article will provide such an opportunity and help us set a direction for lateral nanotechnology toward more advanced functional organization.
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Registered trials
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.