Evidence map›Paper›PMID 42527660›Full record

ReviewNature materials2026

Modular synthesis of chemically programmable superlattices.

Jingyuan Zhou, Huaying Ren, Yu Huang, Xiangfeng Duan

Abstract readReview
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In one paragraph

Review in Nature materials, 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

4 authors.

Jingyuan Zhou *Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-0061-219X
Huaying Ren *State Key Laboratory of Crystal Materials, Institute of Novel Semiconductors, Shandong University, Jinan, China.ORCID http://orcid.org/0000-0003-4785-8031
Yu HuangDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-1793-0741
Xiangfeng DuanDepartment of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, CA, USA. xduan@chem.ucla.edu.ORCID http://orcid.org/0000-0002-4321-6288

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional atomic crystals (2DACs), which feature non-bonding van der Waals (vdW) gaps between crystalline atomic layers, allow selected atoms or molecules to intercalate. When confined within these vdW gaps, the intercalants can self-assemble into ordered interlayers between adjacent 2D atomic lattices, forming well-defined intercalated superlattices. These structures combine the intrinsic properties of solid-state 2DACs with the chemically programmable electronic, optical and magnetic functionalities of self-assembled atomic or molecular interlayers. As a result, they can integrate disparate quantum and collective phenomena, enabling device functionalities beyond the reach of conventional heterostructures. However, the synthesis of intercalated superlattices with specific functions is more complex than arbitrarily combining 2DACs with functional intercalants. Electronically, optically or magnetically active interlayers are inherently more reactive than passive species and are often incompatible with conventional chemical or electrochemical intercalation strategies. In this Review, we classify the functional building blocks used to construct functional intercalated superlattices and examine the key challenges and emerging strategies for their synthesis and assembly. Our goal is to establish guiding principles for the modular design and synthesis of chemically programmable intercalated superlattices with tailored electronic, optical, magnetic and quantum functionalities.

Identifiers

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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.