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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
We have carried out a comprehensive parametric analysis on the potential performance of a graphene nanoribbon field effect transistor (GNRFET). We modeled the behavior of GNRFETs with nanometer width GNR channels to formulate a self-consistent, non-equilibrium Green's function (NEGF) scheme in conjunction with the Poisson equation and allow the GNRFET to operate as a switch. Based on the results, we propose a metric to compete with current silicon CMOS highperformance (HP) or low-power (LP) devices, explaining that this can vary widely depending on the GNRFET structure parameters.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1166/jnn.2020.17797 | DOI Listing |
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