WeChat Mini Program
Old Version Features

Dynamic Potential-pH Diagrams of Ni-Based Anodes for Durable Oxygen Evolution in the Presence of Cl- Impurity.

Hiroki Komiya, Swastik Laha,Keisuke Obata, Kalishankar Bhattacharyya,Kazuhiro Takanabe

The journal of physical chemistry letters(2025)

Department of Chemistry

Cited 0|Views0
Abstract
The corrosion of anode materials caused by dissolved chloride ions (Cl-) is considered one of the most significant issues in the long term durability of seawater electrolysis systems. This study examined the corrosion behaviors of Ni-based electrodes based on a dynamic potential-pH (Pourbaix) diagram with various buffered electrolytes (borate, carbonate, and phosphate). It was found that NiFeOx/Ni plate electrodes degraded faster in media with mild pH than those with alkaline pH, and the corrosion rate depended on the dissolved ionic species in the presence of Cl-, which could be explained in terms of the thermodynamic stability of the formed compounds on the surface. No significant corrosion was observed in phosphate-containing electrolytes, which could be explained by the high formation constant and the low solubility of the Ni-PO4 product with the formed complex. The density functional theory calculation was used to clarify the preferable phosphate adsorption on the Ni site over Cl-, which stabilized Ni.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined