Home / Public paper maps / PaperRESEARCH PAPER · International Journal of Hydrogen Energy · 2024
Symbolic transform optimized convolutional neural network model for high-performance prediction and analysis of MXenes hydrogen evolution reaction catalysts Sen Kai Lu , Pei Song , Zepeng Jia , Zhikai Gao , Zhiguo Wang , Tiren Peng , Xue Bai , Qi Jiang , Hong Wei Cui , Weizhi Tian , Rong Feng , Zhiyong Liang , Qin Kang , Lingxia Jin , Hongkuan Yuan
Read original paper ↗ See where this research leads. A citation map has not been saved for this paper yet.
The paper record is available below. Preparing a network uses the existing account and source-allowance controls.
Papers that cite this work No saved citation network is available; this does not mean the paper has no citations.
The evidence behind the map Abstract An abstract is not available in this saved record.
Coverage and freshness Citation coverage has not been established for this paper.
A dated network is not a complete or live citation census. A citation does not prove endorsement or research quality. Counts depend on publication age and index coverage. Colors identify research areas; positions are for readability.
Source: Saved OpenAlex scholarly metadata. Visits to this public page do not acquire new provider data.
Report a correction