This paper presents the description and the results obtained with a new RFCV system written on python v2.7. which is used to acquire different parameters from MOSFET devices. RFCV is a technique that permits the measurement of capacitances from devices with an oxide thickness up into the nanometric range. Employing this technique, the developed system controls two tools in a synchronized way: A Vector Network Analyzer (VNA) and a Source Measure Unit (SMU) located in a Parameter Analyzer (PA). The obtained results are satisfactory and allow getting an adequate parameter extraction and the corresponding parasitic assessment of devices with channels as short as 34 nm.
Capacitance Extraction of 34-nm Metallurgical Channel Length MOSFET for Parasitic Assessment Using the RFCV Technique
Garzon Esteban;
2018-01-01
Abstract
This paper presents the description and the results obtained with a new RFCV system written on python v2.7. which is used to acquire different parameters from MOSFET devices. RFCV is a technique that permits the measurement of capacitances from devices with an oxide thickness up into the nanometric range. Employing this technique, the developed system controls two tools in a synchronized way: A Vector Network Analyzer (VNA) and a Source Measure Unit (SMU) located in a Parameter Analyzer (PA). The obtained results are satisfactory and allow getting an adequate parameter extraction and the corresponding parasitic assessment of devices with channels as short as 34 nm.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.