Evidence map›Paper›PMID 40169636›Full record

ArticleScientific data2025

Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing.

Isshu Lee, John W Merickel, Yugandhar Kasala Sreenivasulu, Fei Xu, Yalei Tang, Joshua E Rittenhouse, Aleksandar Vakanski, Rongjie Song

Abstract read
In one paragraph

Article in Scientific data, 2025. 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

8 authors.

Isshu Lee *Idaho National Laboratory, Idaho Falls, ID, USA.
John W Merickel *Idaho National Laboratory, Idaho Falls, ID, USA.
Yugandhar Kasala Sreenivasulu *Department of Computer Science, University of Idaho, Moscow, ID, USA.
Fei XuIdaho National Laboratory, Idaho Falls, ID, USA.
Yalei TangIdaho National Laboratory, Idaho Falls, ID, USA.
Joshua E RittenhouseIdaho National Laboratory, Idaho Falls, ID, USA.
Aleksandar VakanskiDepartment of Computer Science, University of Idaho, Moscow, ID, USA. vakanski@uidaho.edu.ORCID http://orcid.org/0000-0003-3365-1291
Rongjie SongIdaho National Laboratory, Idaho Falls, ID, USA. rongjie.song@inl.gov.ORCID http://orcid.org/0009-0007-9037-8654

Funding

U.S. Department of Energy (DOE) DE-AC07-05ID14517
6 · The paper itself

Abstract

Reactor pressure vessel (RPV) steels are critical for maintaining the structural integrity and safety of nuclear reactors, designed to endure extreme conditions over prolonged operational lifetimes. Evaluating the mechanical properties of RPV steels frequently involves tests with sub-sized specimens, due to size constraints associated with irradiated materials. However, the reduced specimen dimensions introduce a size effect that alters material behavior and requires correlating the test results to full-sized specimens. Although numerous correlation methods have been previously proposed, they are typically applicable to specific test conditions. To address these challenges, this study introduces a public dataset of 4,961 Charpy impact test records for RPV steels. The dataset was compiled through a comprehensive literature review and incorporates data from 109 peer-reviewed publications. It provides detailed information on material composition, manufacturing treatments, specimen dimensions, testing conditions, and test results. The primary objective of the dataset is to advance the understanding of specimen size effect in Charpy impact testing, and support studies for validating existing methods and developing data-driven approaches for test results correlation.

Identifiers

PMID40169636
PMCPMC11961680

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.