Evidence map›Paper›PMID 40136016›Full record

ReviewACS nano2025

Layered Metal-Organic Chalcogenides: 2D Optoelectronics in 3D Self-Assembled Semiconductors.

Watcharaphol Paritmongkol, Zhifu Feng, Sivan Refaely-Abramson, William A Tisdale, Christoph Kastl, Lorenzo Maserati

Abstract readReview
In one paragraph

Review in ACS nano, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Watcharaphol ParitmongkolDepartment of Materials Science and Engineering, School of Molecular Science and Engineering (MSE), Vidyasirimedhi Institute of Science and Technology (VISTEC), Rayong 21210, Thailand.ORCID 0000-0003-1638-6828
Zhifu FengIstituto Italiano di Tecnologia, Genova 16163, Italy.
Sivan Refaely-AbramsonDepartment of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-7031-8327
William A TisdaleDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.ORCID 0000-0002-6615-5342
Christoph KastlWalter Schottky Institute, TUM School of Natural Sciences, Technical University of Munich, Garching 85748, Germany.ORCID 0000-0001-5309-618X
Lorenzo MaseratiIstituto Italiano di Tecnologia, Genova 16163, Italy.ORCID 0000-0002-9938-8935

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular self-assembly offers an effective and scalable way to design nanostructured materials with tunable optoelectronic properties. In the past 30 years, organic chemistry has delivered a plethora of metal-organic structures based on the combination of organic groups, chalcogens, and a broad range of metals. Among these, several layered metal-organic chalcogenides (MOCs)─including "mithrene" (AgSePh)─recently emerged as interesting platforms to host 2D physics embedded in 3D crystals. Their combination of broad tunability, easy processability, and promising optoelectronic performance is driving a renewed interest in the more general material group of "low-dimensional" hybrids. In addition, the covalent MOC lattice provides higher stability compared with polar materials in operating devices. Here, we provide a perspective on the rise of 2D MOCs in terms of their synthesis approaches, 2D quantum confined exciton physics, and potential future applications in UV and X-ray photodetection, chemical sensors, and electrocatalysis.

Indexed as

2D semiconductorsexcitonlow-dimensional hybridsmetal−organic chalcogenidesmithreneMOC

Identifiers

PMID40136016
PMCPMC11984305

What OpenQuestion holds

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Registered trials

None linked

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.