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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The lead-free double-perovskite CsAgBiBr, which combines nontoxicity with superior stability, has been highlighted as an ecofriendly alternative to lead-halide perovskites in photoelectric devices by recent advancements. Herein, CsAgBiBr films were successfully synthesized on a fluorine-doped tin oxide (FTO) glass substrate via a spin-coating method in a dry-air glovebox (relative humidity (RH) less than 20%), eliminating the need for antisolvent dripping or inert gas protection. The films exhibited a uniform morphology, with root-mean-square (RMS) and average ( ) roughness values of 15.4 and 11.9 nm, respectively. The fabricated CsAgBiBr-based memristors demonstrated stable, repeatable bipolar resistive switching behavior with low operating voltages (+0.4 V, -0.3 V), an on/off ratio of 479, an endurance of 1000 cycles, and a retention time of 10 s. Remarkably, the resistance ratio between the high-resistance state (HRS) and low-resistance state (LRS) remained stable at approximately 441 even after 30 days of ambient storage. Furthermore, the memristor mimicked biological synaptic functions, achieving an accuracy of 91.39% in machine learning simulations. These findings highlight the viability of using CsAgBiBr in both memory and computational applications, thus offering a promising pathway for developing sustainable and efficient memristor-based systems for use in neuromorphic computing and information storage.
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Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332778 | PMC |
http://dx.doi.org/10.1021/acsomega.5c04702 | DOI Listing |