Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Although the silicon (Si) anode has a high theoretical capacity, large volume-expansion would lead to rapid capacity decay. Here, a core-nest structured Si@SnSSe/carbon (Si@SnSSe/C) is developed using silicon as the core and SnSSe/carbon as a binary nest. Both the core-nest structure and carbon matrix enable a stable hybrid structure during charge and discharge. The binary nest Si@SnSSe/C nanospheres as a lithium-ion battery anode display good capacity, recoverable rate-performance, and enhanced electron and ion transfer properties. A capacity of 1318 mA h g and a high coulombic efficiency of 98.9% after 50 cycles at 0.1 A g are achievable, and the capacity remains 887 mA h g after 150 cycles at 0.5 A g. A high capacity at 50 °C is also retained, showing a high initial specific capacity. It is found that the reaction resistance of Si@SnSSe/C is significantly lower than that of the pure components, and the stress-strain relationship of the Li-Si system is demonstrated by density functional theory (DFT) calculations. The engineering of the binary-nest structure should be able to provide some new ideas for developing many other high-performance energy-storage hybrids.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11388083 | PMC |
http://dx.doi.org/10.1039/d4sc03780d | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!