Performance of a Dual Side Substrate Metrology System for Micromachining Lithography

Author(s):  
Daniel Schurz ◽  
Warren W. Flack

Advances in micromachining (MEMS) applications such as optical components, inertial and pressure sensors, fluidic pumps and radio frequency (RF) devices are driving lithographic requirements for tighter registration, improved pattern resolution and improved process control on both sides of the substrate. Consequently, there is a similar increase in demand for advanced metrology tools capable of measuring the Dual Side Alignment (DSA) performance of the lithography systems. There are a number of requirements for an advanced DSA metrology tool. First, the system should be capable of measuring points over the entire area of the wafer rather than a narrow area near the lithography alignment targets. Secondly, the system should be capable of measuring a variety of different substrate types and thicknesses. Finally, it should be able to measure substrates containing opaque deposited films such as metals. In this paper, the operation and performance of a new DSA metrology tool is discussed. The UltraMet 100 offers DSA registration measurement at greater than 90% of a wafer’s surface area, providing a true picture of a lithography tool’s alignment performance and registration yield across the wafer. The system architecture is discussed including the use of top and bottom cameras and the pattern recognition system. Experimental data is shown for tool performance in terms of repeatability and reproducibility over time. The requirements for tool accuracy and methods to establish accuracy to a NIST traceable standard are also discussed.

Proceedings ◽  
2021 ◽  
Vol 68 (1) ◽  
pp. 2
Author(s):  
Arash M. Shahidi ◽  
Theodore Hughes-Riley ◽  
Carlos Oliveira ◽  
Tilak Dias

Knitted electrodes are a key component to many electronic textiles including sensing devices, such as pressure sensors and heart rate monitors; therefore, it is essential to assess the electrical performance of these knitted electrodes under different mechanical loads to understand their performance during use. The electrical properties of the electrodes could change while deforming, due to an applied load, which could occur in the uniaxial direction (while stretched) or multiaxial direction (while compressed). The properties and performance of the electrodes could also change over time when rubbed against another surface due to the frictional force and generated heat. This work investigates the behavior of a knitted electrode under different loading conditions and after multiple abrasion cycles.


Author(s):  
Woo Young Lee ◽  
Yong Min Kim ◽  
Jin Han Kwon ◽  
Hong Chul Moon

In this study, a convenient approach is proposed to tune the properties of ion gels by utilizing mixed ionic liquid (IL) systems. Herein, a binary IL system consisting of 1-butyl-3-methylimidazolium...


2012 ◽  
pp. 1724-1745
Author(s):  
Michele Maffia ◽  
Luca Mainetti ◽  
Luigi Patrono ◽  
Emanuela Urso

Radio Frequency Identification (RFID) is going to play a crucial role as auto-identification technology in a wide range of applications such as healthcare, logistics, supply chain management, ticketing, et cetera. The use of electromagnetic waves to identify, trace, and track people or goods allows solving many problems related to auto-identification devices based on optical reading (i.e. bar code). Currently, high interest is concentrated on the use of Radio Frequency (RF) solutions in healthcare and pharmaceutical supply chain, in order to improve drugs flow transparency and patients’ safety. Unfortunately, there is a possibility that drug interaction with electromagnetic fields (EMFs) generated by RF devices, such as RFID readers, deteriorate the potency of bioactive compounds. This chapter proposes an experimental multidisciplinary approach to investigate potential alterations induced by EMFs on drug molecular structure and performance. To show the versatility of this approach, some experimental results obtained on two biological pharmaceuticals (peptide hormone-based) are discussed.


Author(s):  
MARC BOSCH-JORGE ◽  
ANTONIO-JOSÉ SÁNCHEZ-SALMERÓN ◽  
CARLOS RICOLFE-VIALA

The aim of this work is to present a visual-based human action recognition system which is adapted to constrained embedded devices, such as smart phones. Basically, vision-based human action recognition is a combination of feature-tracking, descriptor-extraction and subsequent classification of image representations, with a color-based identification tool to distinguish between multiple human subjects. Simple descriptors sets were evaluated to optimize recognition rate and performance and two dimensional (2D) descriptors were found to be effective. These sets installed on the latest phones can recognize human actions in videos in less than one second with a success rate of over 82%.


2012 ◽  
Author(s):  
Philippe Beillas ◽  
François Alonzo ◽  
Marie-Christine Chevalier ◽  
Philippe Lesire ◽  
Franck Leopold ◽  
...  

Nanomaterials ◽  
2021 ◽  
Vol 11 (8) ◽  
pp. 1941
Author(s):  
Haike Zhu ◽  
Sean Anderson ◽  
Nick Karfelt ◽  
Lingjun Jiang ◽  
Yunchu Li ◽  
...  

Targeting high-speed, low-cost, short-reach intra-datacenter connections, we designed and tested an integrated silicon photonic circuit as a transmitter engine. This engine can be packaged into an optical transceiver module which meets the QSFP-DD Form Factor, together with other electrical/optical components. We first present the design and performance of a high-speed silicon modulator, which had a 3-dB EO bandwidth of >40 GHz and an ER of >5 dB. We then incorporated the engine onto a test board and injected a 53.125 Gbaud PAM4 signal. Clear eye patterns were observed at the receiver with TDECQ ~3 dB for all four lanes.


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