Evidence map›Paper›PMID 42319433›Full record

ArticleAnalytical and bioanalytical chemistry2026

Qualification of proxy experiments for accelerated electrochemical testing in self-driving labs.

Annica Heyne, Mert Ozan, Ahmad Rashid Hazem, Ozlem Ozcan

Abstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2026. 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

4 authors.

Annica HeyneFederal Institute for Materials Research and Testing (BAM), Unter Den Eichen 87, 12205, Berlin, Germany.
Mert OzanFederal Institute for Materials Research and Testing (BAM), Unter Den Eichen 87, 12205, Berlin, Germany.
Ahmad Rashid HazemFederal Institute for Materials Research and Testing (BAM), Unter Den Eichen 87, 12205, Berlin, Germany.
Ozlem OzcanFederal Institute for Materials Research and Testing (BAM), Unter Den Eichen 87, 12205, Berlin, Germany. ozlem.ozcan@bam.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Material acceleration platforms (MAPs) aim at accelerating the discovery of functional materials by combining simulation-assisted pre-screening of potential candidate materials with fast property evaluation using self-driving labs (SDLs) enabling an early upscaling and assessment of device level properties. For the development of corrosion protection technologies or in energy applications, a key challenge lies in identifying property descriptors that reliably predict long-term stability while remaining compatible with accelerated workflows. Conventional corrosion tests for long-term performance remain indispensable but include procedures that can last from hours to months which renders them unsuitable for early-stage screening within large chemical and microstructural design spaces. Consequently, there is a critical need for time‑efficient electrochemical measurements that retain predictive value to determine candidate materials and can be seamlessly integrated into automated platforms. This study presents a comparative evaluation of the corrosion properties of four different alloys (CrCoNi, FeCrNi, CrMnFeCoNi, and AISI 304) in 3.5 wt% NaCl at pH 7.0, with the objective of developing a minimal yet informative electrochemical sequence suitable for SDL deployment. We outline a systematic approach to designing electrochemical proxy experiments: first, by identifying the corrosion processes most relevant to the target application; second, by assessing candidate techniques with respect to their diagnostic value relative to experimental time; and finally, by refining the sequence based on data interpretability and operational flexibility. For the investigated alloys and conditions, chronopotentiometry was the most effective method both in terms of the property differentiation and execution time.

Indexed as

CorrosionElectrochemical analysisMAPsMaterial acceleration platformsSelf-driving labs

Identifiers

PMID42319433
PMCPMC13424212

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.