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Feature Profile Evolution in Plasma Processing Using On-wafer Monitoring System: SpringerBriefs in Applied Sciences and Technology

Autor Seiji Samukawa
en Limba Engleză Paperback – 17 feb 2014
This book provides for the first time a good understanding of the etching profile technologies that do not disturb the plasma. Three types of sensors are introduced: on-wafer UV sensors, on-wafer charge-up sensors and on-wafer sheath-shape sensors in the plasma processing and prediction system of real etching profiles based on monitoring data. Readers are made familiar with these sensors, which can measure real plasma process surface conditions such as defect generations due to UV-irradiation, ion flight direction due to charge-up voltage in high-aspect ratio structures and ion sheath conditions at the plasma/surface interface. The plasma etching profile realistically predicted by a computer simulation based on output data from these sensors is described.
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Specificații

ISBN-13: 9784431547945
ISBN-10: 4431547940
Pagini: 52
Ilustrații: VIII, 40 p. 35 illus., 30 illus. in color. With online files/update.
Dimensiuni: 155 x 235 x 3 mm
Greutate: 0.09 kg
Ediția:2014
Editura: Springer
Colecția Springer
Seria SpringerBriefs in Applied Sciences and Technology

Locul publicării:Tokyo, Japan

Public țintă

Research

Cuprins

Introduction.- On-wafer UV sensor and prediction of UV irradiation damage.- Prediction of Abnormal Etching Profiles in High-aspect-ratio Via/Hole Etching Using On-wafer Monitoring System.- Feature Profile Evolution in Plasma Processing Using Wireless On-wafer Monitoring System.

Notă biografică

Prof. Seiji Samukawa
Distinguished Professor in Tohoku University
Professor in Institute of Fluid Science,
Professor and Principal Investigator, WPI-AIMR in Tohoku University.

Caracteristici

Is the first book that focuses on an etching profile prediction system from a practical application viewpoint Explains the development of an effective on-wafer UV sensor, on-wafer charge-up sensor and on-wafer sheath shape sensor Contributes to a better understanding of etching profile prediction systems, including several experimental findings Includes supplementary material: sn.pub/extras