Evidence map›Paper›PMID 41035516›Full record

ArticleSmart molecules : open access2025

A density functional theory study of tyrosine-proton mediated transport in Ag-filamentary nanodevices.

Dan Berco

Abstract read
In one paragraph

Article in Smart molecules : open access, 2025. 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. Article
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

1 author.

Dan BercoSchool of Electrical Engineering & Computer Science Washington State University Pullman Washington USA.ORCID https://orcid.org/0000-0003-2902-1422

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of electronic circuits designed to emulate the functionality of biological neural networks has increased significantly in recent years. Specifically, memristor-based neuromorphic operation has been demonstrated using various material combinations. One class of devices replicates the ion-concentration-gradient buildup that precedes neurotransmitter release in biological synapses. Some of these devices incorporate amino-acid-rich solutions as an active layer. This work presents a density functional theory study of such a device. The interaction between an Ag-filamentary memristor and different Hydrogen concentrations in a tyrosine-rich environment was evaluated. Two mutually exclusive structures were studied, and the resulting source-to-drain currents were compared with experimental observations. One structure was based on Tyrosine-H blocks linked to Ag atoms as a charge conduction path, while the other placed these blocks in parallel with Ag partial filaments between the source and drain. The results indicate that the second aligns with experiments and supports the hypothesis that tyrosine can act as an enabler for proton-mediated charge transport. Furthermore, the insights into the electronic transport properties of specific molecules can provide a theoretical background for designing advanced Hydrogen sensors and amino acid detectors.

Indexed as

Ag‐filamentary memristorsamino‐acid devicesHydrogen sensorsneuromorphic computingproton‐mediated charge transporttyrosine‐based nanostructures

Identifiers

PMID41035516
PMCPMC12483131

What OpenQuestion holds

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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.