Evidence map›Paper›PMID 41047591›Full record

ArticleNano letters2025

Low Power FA

Panagiotis Bousoulas, Spyros Orfanoudakis, Danai Spathi, Victoras Pagonis, Leonidas Tsetseris, Charalampos Tsioustas, Polychronis Tsipas, Athanassios G Kontos, Thomas Stergiopoulos, Dimitris Tsoukalas

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Panagiotis BousoulasDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.ORCID 0000-0002-5395-0777
Spyros OrfanoudakisDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Danai SpathiDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Victoras PagonisDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Leonidas TsetserisDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Charalampos TsioustasDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Polychronis TsipasInstitute of Nanoscience and Nanotechnology, NCSR Demokritos, 15341 Athens, Greece.ORCID 0000-0001-9064-9601
Athanassios G KontosDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.
Thomas StergiopoulosInstitute of Nanoscience and Nanotechnology, NCSR Demokritos, 15341 Athens, Greece.
Dimitris TsoukalasDepartment of Physics, School of Applied Mathematical and Physical Sciences, National Technical University of Athens, Iroon Polytechniou 9 Zographou, 15780 Athens, Greece.ORCID 0000-0001-5189-3396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of artificial neural networks with biorealistic computing properties represents a frontier in the neuromorphic computing era. However, achieving compact and energy-efficient integration of silicon-based synapses and neurons remains challenging due to complexities in their electrical circuits. Herein, we fabricated a low power Ag/SiO

Indexed as

artificial neural networkslight intensitymemristorsneuromorphic propertiesperovskitesPt nanoparticlesspikessynapses

Identifiers

PMID41047591
PMCPMC12532278

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.