One-pot Synthesis of TiO2-decorated SnSe/ZnS As a Novel Anode Material with Promoted Storage Capacity and Cyclability in Lithium-Ion Batteries
Journal of Materials Science Materials in Electronics（2024）
Central Metallurgical Research & Development Institute | Imam Mohammad Ibn Saud Islamic University (IMSIU)
Abstract
New metal oxide-metal chalcogenide system composed of TiO2@SnSe-ZnS composite was synthesized via one-step solvothermal process. XRD, FTIR, and Raman results confirmed the presence of mixed phases and corresponding molecular bonding of rutile TiO2, cubic ZnS, and orthorhombic SnSe. FESEM and TEM characterizations showed a unique interference between two distinguished morphologies, where TiO2 appeared as nanoflakes covering the spherical particles of ZnS/SnSe. XPS inspection of TiO2-modified SnSe-ZnS sample showed that small portion of the existed Zn2+ in tetrahedral sites is displaced into the octahedral sites as a result of the lattice distortion by incorporation of Ti4+/Ti3+ cations and oxygen deficiency in the structure. The initial specific discharge capacity for the modified SnSe-ZnS anode with 3
MoreTranslated text
求助PDF
上传PDF
View via Publisher
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
Related Papers
INORGANIC CHEMISTRY COMMUNICATIONS 2024
被引用0
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