Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Metal fatigue, characterized by the accumulation of dislocation defects, is a prevalent failure mode in structural materials. Nondestructive early-stage detection of metal fatigue is extremely important to prevent disastrous events and protect human life. However, the lack of a precise quantitative method to visualize fatigue with spatiotemporal resolution poses a significant obstacle to timely detection. Here, we demonstrate a nondestructive electrocatalytic method to visualize metal fatigue, which is promising for future fatigue early detections. The persistent slip band (PSB) is considered one of the most consequential defect structures for metal fatigue failure. The selective electrochemistry is highly dependent on the metal crystallography and the collective dislocations in the PSB structure, enabling the amplification of the electrochemical response and differentiation of the fatigue stages at a submillimeter resolution. In addition, this nondestructive electrocatalytic method is applicable to several common metals, including copper, silver, iron, and aluminum, holding great significance where metal fatigue is a critical concern.
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http://dx.doi.org/10.1021/jacs.4c12114 | DOI Listing |