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Record W4411145977 · doi:10.1021/acs.nanolett.5c01297

Observation of Two-Terminal CISS Magnetoresistance with Nonmagnetic Contacts

2025· article· en· W4411145977 on OpenAlexafffund
Md Anik Hossain, Sara Illescas‐Lopez, Seyedamin Firouzeh, Juan M. Cuerva, Luı́s Álvarez de Cienfuegos, Sandipan Pramanik

Bibliographic record

VenueNano Letters · 2025
Typearticle
Languageen
FieldPhysics and Astronomy
TopicQuantum and electron transport phenomena
Canadian institutionsUniversity of Alberta
FundersAgencia Estatal de InvestigaciónNatural Sciences and Engineering Research Council of CanadaUniversidad de GranadaMinisterio de Ciencia, Innovación y Universidades
KeywordsChirality (physics)MagnetoresistanceCondensed matter physicsSpinsAnisotropyFerromagnetismSpin (aerodynamics)MagnetizationMaterials sciencePhysicsOpticsMagnetic fieldQuantum mechanicsChiral anomaly

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide Chiral materials contacted between a ferromagnet (FM) and a nonmagnet (NM) exhibit a chirality-dependent asymmetric magnetoresistance (MR) as the FM magnetization is flipped. This is considered to be a manifestation of the chirality induced spin selectivity (CISS) effect, in which chirality dependent spins generated in the medium are subsequently detected by the ferromagnetic spin detector. Here we show that this two-terminal asymmetric MR response is quite general and can arise even when an achiral medium is contacted by nonmagnetic electrodes, with no known spin detecting property. By controllably introducing chirality in the channel, we demonstrate how the chirality-dependent CISS MR manifests even for nonspin-detecting electrodes . The response, distinct from electromagnetochiral anisotropy (EMChA), remains unchanged in the standard configuration with FM/NM electrodes. Thus, observation of chirality-dependent MR in transport experiments does not necessarily relate chirality to spin, as commonly assumed in CISS literature.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.212
Teacher spread0.206 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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