ReviewiScience2025
High entropy alloys for advanced electrocatalysis with computational insights and multidisciplinary design strategies.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Strain-Modulated Engineering of High-Entropy Vanadium-Based Chalcogenide for Sustainable Water Oxidation.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Bringing Order to Chaos in High-Entropy Electrocatalysts.ACS energy letters · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The growing demand for sustainable energy solutions drives the exploration of high-entropy alloys (HEAs) in electrocatalysis. HEAs have emerged as paradigm-shifting electrocatalysts for complex reactions, yet their mechanistic underpinnings remain underexplored. This study establishes a comprehensive computational framework integrating density functional theory (DFT), machine learning (ML), and multiscale simulations to decode the catalytic mechanisms of HEAs and guide their rational design. These insights break the "scaling relationship" bottleneck in conventional catalysts. Future efforts should bridge accuracy-efficiency trade-offs via multiscale modeling and address dynamic interface phenomena to unlock HEA potential in sustainable energy conversion and all kinds of catalytic reaction.
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.