Evidence map›Paper›PMID 41727954›Full record

ArticleDevice2026

In-sensor computing with halide perovskite-based optoelectronic reservoir networks.

Jeroen J de Boer, Agustin O Alvarez, Moritz C Schmidt, Bruno Ehrler

Abstract read
In one paragraph

Article in Device, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Memristive Physical Reservoir Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
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.

Jeroen J de BoerLMPV-Sustainable Energy Materials Department, AMOLF, 1098 XG Amsterdam, the Netherlands.
Agustin O AlvarezLMPV-Sustainable Energy Materials Department, AMOLF, 1098 XG Amsterdam, the Netherlands.
Moritz C SchmidtLMPV-Sustainable Energy Materials Department, AMOLF, 1098 XG Amsterdam, the Netherlands.
Bruno EhrlerLMPV-Sustainable Energy Materials Department, AMOLF, 1098 XG Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical reservoir computing can provide efficient neuromorphic in- and near-sensor computing applications. Typically, reservoir networks are designed to process light or voltage inputs. Here, we demonstrate a multimodal optoelectronic reservoir network based on halide perovskite semiconductor devices capable of processing voltage and light inputs, which is also scalable for constructing high-density sensor arrays. The devices consist of micrometer-sized, asymmetric crossbars covered with a methylammonium lead iodide (MAPbI

Indexed as

halide perovskitein-sensor computingphysical reservoir computing

Identifiers

PMID41727954
PMCPMC12923364

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.