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Record W4407078201 · doi:10.1002/adem.202402545

Exploring the Effect of Lanthanum on the Corrosion Resistance and Antimicrobial Properties of Fe–20Cr–18Ni–6Mo–0.8Cu–0.2N Stainless Steel in Seawater

2025· article· en· W4407078201 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdvanced Engineering Materials · 2025
Typearticle
Languageen
FieldMaterials Science
TopicHydrogen embrittlement and corrosion behaviors in metals
Canadian institutions123 Certification (Canada)
FundersSanya Yazhou Bay Science and Technology CityKey Technology Research and Development Program of ShandongPolit National Laboratory for Marine Science and Technology
KeywordsCorrosionMaterials scienceMetallurgyMicrostructureScanning electron microscopeAusteniteArtificial seawaterIntergranular corrosionPitting corrosionFerrite (magnet)LanthanumSeawaterComposite materialInorganic chemistryChemistry

Abstract

fetched live from OpenAlex

This study investigates the effects of lanthanum (La) on the microstructure and corrosion resistance of Fe–20Cr–18Ni–6Mo–0.8Cu stainless steel in seawater. Microstructural analysis shows that La addition refines grain size and alters precipitated phases. X‐ray diffraction confirms austenitic structures, while transmission electron microscopy reveals the formation of Cu 5 La compounds and ferrite/σ phases. Electrochemical tests indicate that the sample without La has the highest open‐circuit potential and best corrosion resistance in nonseawater conditions. However, after 16 days of seawater exposure, the 0.5 wt% La sample exhibits superior corrosion resistance with a corrosion rate of 0.0175 mm/a, while higher La contents (1.0 wt% and 1.5 wt%) leads to poor corrosion resistance and large corrosion craters. Scanning electron microscopy confirms minimal surface corrosion for the 0.5 wt% La sample. In sulfate‐reducing bacteria environments, La enhances corrosion resistance, except for pitting corrosion observed in the 1.5 wt% sample. Scanning Kelvin probe force microscopy shows minimal surface potential fluctuation (from −30 to 10 mV) for the 0 wt% La sample, indicating the best corrosion resistance. This study provides insights into the role of rare earth elements in super austenitic stainless steels.

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.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.224
Teacher spread0.205 · 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