Evidence map›Paper›PMID 42146797›Full record

ReviewChemical science2026

Nanoarchitectonics of molecular machines, biomolecular machines, and microrobots in their collective behaviour.

Katsuhiko Ariga, Wenyan Lyu, Jingwen Song

Abstract readReview
In one paragraph

Review in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Katsuhiko ArigaResearch Center for Materials Nanoarchitectonics, National Institute for Materials Science (NIMS) 1-1 Namiki Tsukuba 305-0044 Japan ARIGA.Katsuhiko@nims.go.jp.ORCID https://orcid.org/0000-0002-2445-2955
Wenyan LyuGraduate School of Frontier Sciences, The University of Tokyo 5-1-5 Kashiwa-no-ha Kashiwa 277-8561 Japan.
Jingwen SongKey Laboratory of Multifunctional Nanomaterials and Smart Systems, Suzhou Institute of Nano-tech and Nano-bionics (SINANO), Chinese Academy of Sciences (CAS) Suzhou 215123 P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanoarchitectonics of small-scale molecular units into functional materials is a key strategy in materials science. The central challenge lies in assembling, integrating, and nanoarchitecting fundamental functional units, such as molecular machines and microrobots, to innovate materials. This review examines collective behaviours typical in molecular and biomolecular machines and microrobots. We categorize collective behaviours into six types: (i) small-scale units operating cooperatively or collaboratively (often seen in macroscopic objects such as crystals); (ii) free-moving units in the bulk material; (iii) mechanical coupling between units resulting in chain interactions (not unlike gears); (iv) assembly of units to generate macroscopic output functions; (v) macroscopic stimuli controlling individual units; and (vi) cooperation between different molecular species to generate functional flows within a single system. After categorizing collective behaviours in molecular machines, we consider examples of material systems exhibiting this behaviour, such as MOFs, COFs and crystals. Furthermore, we examine the collective behaviours of molecular machines at solid surfaces and liquid interfaces. Additionally, we highlight the behaviour of biomolecular machines and microrobots in separate sections. Each section identifies and discusses trends in the relevant examples. This approach to utilizing molecular machines is anticipated to create highly functional systems, realizing the ultimate goal of functional materials chemistry.

Identifiers

PMID42146797
PMCPMC13174959

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Registered trials

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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.