ArticleNature communications2024
Machine-learning-accelerated design of high-performance platinum intermetallic nanoparticle fuel cell catalysts.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed.
- Boron Incorporation Induces Lattice Expansion in Platinum Nanoparticles for Enhanced Oxygen Reduction Reaction.ChemSusChem · 2026Article
- From bench to bedside: Overcoming translational hurdles in nanoparticle research with pharmacokinetic modeling.Bioengineering & translational medicine · 2026Review
- Database-guided thermodynamic-kinetic regulation for PtNi-based intermetallic electrocatalysts.Science advances · 2026Article
- Sub-4-nm PtScience advances · 2026Article
- Machine Learning-Assisted Screening of Non-Adjacent Dual-Atom Catalysts on N-Doped Graphene: Insights Into the Electron "Storage-Feedback" Mechanism for NSmall (Weinheim an der Bergstrasse, Germany) · 2026Article
- High Entropy Effect Induced In-situ Surface Hydroxylation for Robust Electro-assisted Uranium Mineralization from Real Nuclear Wastewater.Nature communications · 2026Article
- Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Advancing Lithium-Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence-Driven Design Paradigms.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Insights Into Atomic Ordering and Morphological Control Integration Design for Next-Generation Proton Exchange Membrane Fuel Cells.ChemSusChem · 2026Review
- Machine learning-guided design of energy-related catalysts from nanoparticles to single-atom sites.Communications chemistry · 2026Review
- AI in Membrane Design and Optimization for Hydrogen Fuel Cells.Membranes · 2026Review
- Triangular-ordered Co atoms activate substrates for ampere-level durable hydrogen production.Nature communications · 2025Article
- Machine Learning-Guided Multimodal Synchrotron Analysis Workflow for Fuel Cell Electrocatalyst Discovery.Communications chemistry · 2025Article
- Advancing genetic engineering with active learning: theory, implementations and potential opportunities.Briefings in bioinformatics · 2025Review
- Mechanotransduction for therapeutic approaches: Cellular aging and rejuvenation.APL bioengineering · 2025Review
- Optimization analysis of air cooled open cathode proton exchange membrane fuel cell flow channel structure.Scientific reports · 2025Article
- Noise-Aware Active Learning to Develop High-Temperature Shape Memory Alloys with Large Latent Heat.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Selective oxygen reduction reaction: mechanism understanding, catalyst design and practical application.Chemical science · 2024Review
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
Carbon supported PtCo intermetallic alloys are known to be one of the most promising candidates as low-platinum oxygen reduction reaction electrocatalysts for proton-exchange-membrane fuel cells. Nevertheless, the intrinsic trade-off between particle size and ordering degree of PtCo makes it challenging to simultaneously achieve a high specific activity and a large active surface area. Here, by machine-learning-accelerated screenings from the immense configuration space, we are able to statistically quantify the impact of chemical ordering on thermodynamic stability. We find that introducing of Cu/Ni into PtCo can provide additional stabilization energy by inducing Co-Cu/Ni disorder, thus facilitating the ordering process and achieveing an improved tradeoff between specific activity and active surface area. Guided by the theoretical prediction, the small sized and highly ordered ternary Pt
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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.