Evidence map›Paper›PMID 29046839›Full record

ReviewBeilstein journal of nanotechnology2017

Spin-dependent transport and functional design in organic ferromagnetic devices.

Guichao Hu, Shijie Xie, Chuankui Wang, Carsten Timm

Abstract readReview
In one paragraph

Review in Beilstein journal of nanotechnology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Synthesis and Thin Films of Thermally Robust Quartet (Journal of the American Chemical Society · 2021
    Article
  2. Synthesis of Nitroxide Diradical Using a New Approach.Molecules (Basel, Switzerland) · 2020
    Article
  3. Thermally and Magnetically Robust Triplet Ground State Diradical.Journal of the American Chemical Society · 2019
    Article
  4. Towards molecular spintronics.Beilstein journal of nanotechnology · 2017
    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

4 authors.

Guichao HuSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Shijie XieSchool of Physics, Shandong University, Jinan 250100, China.
Chuankui WangSchool of Physics and Electronics, Shandong Normal University, Jinan 250014, China.
Carsten TimmInstitute of Theoretical Physics, Technische Universität Dresden, 01062 Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organic ferromagnets are intriguing materials in that they combine ferromagnetic and organic properties. Although challenges in their synthesis still remain, the development of organic spintronics has triggered strong interest in high-performance organic ferromagnetic devices. This review first introduces our theory for spin-dependent electron transport through organic ferromagnetic devices, which combines an extended Su-Schrieffer-Heeger model with the Green's function method. The effects of the intrinsic interactions in the organic ferromagnets, including strong electron-lattice interaction and spin-spin correlation between π-electrons and radicals, are highlighted. Several interesting functional designs of organic ferromagnetic devices are discussed, specifically the concepts of a spin filter, multi-state magnetoresistance, and spin-current rectification. The mechanism of each phenomenon is explained by transmission and orbital analysis. These works show that organic ferromagnets are promising components for spintronic devices that deserve to be designed and examined in future experiments.

Indexed as

magnetoresistanceorganic ferromagnetspin-current rectificationspin filteringtransport

Identifiers

PMID29046839
PMCPMC5629376

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.