Evidence map›Paper›PMID 42718626›Full record

ArticleNpj Materials degradation2026

Materials Acceleration Platform for Electrochemistry: a Platform for Autonomous Electrochemistry.

Daniel Persaud, Mike Werezak, Mark Xu, Melyne Zhou, Frank Benkel, Xin Pang, Vahid Attari, Brian DeCost, Ashley S Dale, Nicholas Senior and 2 more

Abstract read
In one paragraph

Article in Npj Materials degradation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Daniel PersaudCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.ORCID 0009-0004-9980-2704
Mike WerezakCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.
Mark XuCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.
Melyne ZhouDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON Canada.ORCID 0009-0009-0498-8101
Frank BenkelCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.
Xin PangCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.ORCID 0009-0007-7722-0991
Vahid AttariCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.ORCID 0000-0003-3507-8847
Brian DeCostMaterial Measurement Laboratory, National Institute of Standards and Technology, 100 Bureau Dr, Gaithersburg, MD USA.ORCID 0000-0002-3459-5888
Ashley S DaleDepartment of Materials Science and Engineering, University of Toronto, Toronto, ON Canada.ORCID 0000-0001-8233-5258
Nicholas SeniorCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.ORCID 0000-0001-6440-9161
Gabriel BirsanCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.
Jason Hattrick-SimpersCanmetMATERIALS, Natural Resources Canada, Hamilton, ON Canada.ORCID 0000-0003-2937-3188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Corrosion testing is slow, labor-intensive, and sensitive to operator technique, limiting the generation of large, high-quality datasets for data-driven materials discovery. The Materials Acceleration Platform for Electrochemistry (MAP-E) is an autonomous, high-throughput system, capable of performing parallel electrochemical experiments. It integrates robotic liquid handling and sample transfer with a multi-channel potentiostatic control to extract corrosion metrics without human intervention. Validation against an ASTM G61-analog benchmark demonstrates good reproducibility, with a standard deviation of 75 mV in pitting potential across 32 automated measurements. The platform was then employed to autonomously construct pH-chloride stability diagrams for 304 stainless steel using an uncertainty-driven sampling strategy on a Gaussian process surrogate model. This approach reduces operator involvement and accelerates the exploration of environmental spaces. The MAP-E establishes a framework for autonomous electrochemical experimentation, enabling generation of corrosion datasets that inform materials discovery, alloy design, and durability assessment in service environments.

Indexed as

ChemistryEngineeringMaterials science

Identifiers

PMID42718626
PMCPMC13553302

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.