ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2019
Accelerated Search for BaTiO
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Active learning in latent spaces enables rapid inverse design of ferroelectric ceramics for energy storage.Nature communications · 2026Article
- Interpretable Machine Learning with Prediction Uncertainty Quantification forMaterials (Basel, Switzerland) · 2026Article
- Sustainable Materials for Energy.Nanomaterials (Basel, Switzerland) · 2025Review
- Predicting thermodynamic stability of inorganic compounds using ensemble machine learning based on electron configuration.Nature communications · 2025Article
- Enhanced energy storage in relaxor (1-x)BiCommunications materials · 2025Article
- Data quantity governance for machine learning in materials science.National science review · 2023Article
- Formula Graph Self-Attention Network for Representation-Domain Independent Materials Discovery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Machine learning as a tool to engineer microstructures: Morphological prediction of tannin-based colloids using Bayesian surrogate models.MRS bulletin · 2022Article
- Strategies to Improve the Energy Storage Properties of Perovskite Lead-Free Relaxor Ferroelectrics: A Review.Materials (Basel, Switzerland) · 2020Review
- Machine-Learning-Assisted De Novo Design of Organic Molecules and Polymers: Opportunities and Challenges.Polymers · 2020Review
- Determining Multi-Component Phase Diagrams with Desired Characteristics Using Active Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020Article
- Accelerated Search for BaTiOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2019Article
- Prediction and optimization of epoxy adhesive strength from a small dataset through active learning.Science and technology of advanced materials · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The problem that is considered is that of maximizing the energy storage density of Pb-free BaTiO
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.