ArticleJournal of chemical information and modeling2024
Machine-Learning Predictions of Critical Temperatures from Chemical Compositions of Superconductors.
Article in Journal of chemical information and modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- Machine-Learning Predictions of Photoluminescence in Molecules Exhibiting Thermally Activated Delayed Fluorescence with Implicit Experimental Validation.Journal of chemical information and modeling · 2026Article
- Ion-exchange functionalized polystyrene-based composites: synthesis, conductive hybridization, and environmental applications.RSC advances · 2026Review
- Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection Workflow.Journal of chemical information and modeling · 2025Article
- Integrating machine learning with advanced processing and characterization for polycrystalline materials: a methodology review and application to iron-based superconductors.Science and technology of advanced materials · 2025Review
- Predictive Modeling of High-Entropy Alloys and Amorphous Metallic Alloys Using Machine Learning.Journal of chemical information and modeling · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the quest for advanced superconducting materials, the accurate prediction of critical temperatures (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.