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SANTA CLARA, CA, July 9, 2012 - (ACN Newswire) - Applied Materials, Inc. today unveiled its Applied UVision(R) 5 wafer inspection system for detecting defects in the critical patterning layers of logic devices at the sub-20nm node. The system's deep ultra-violet (DUV) laser and simultaneous brightfield and greyfield light collection capabilities deliver up to double the light intensity to the wafer over previous tools, enabling the UVision 5 system to capture up to twice the number of killer defects. This unmatched sensitivity allows semiconductor manufacturers to achieve more stable and robust control over the fabrication of their smallest circuit features.
- DUV laser, brightfield and greyfield technologies deliver up to twice the light to the wafer for unmatched detection sensitivity - Proprietary image processing algorithms cut noise by 50% to capture defects on dense features - Tool of record at leading foundries and logic fabs for 2Xnm node and beyond
"With each advance in technology node, minute imperfections that could previously be ignored suddenly become potential 'killer' defects. Innovations in the UVision 5 system are enabling chipmakers to find and characterize these ultra-small defects to boost yield and reduce cycle time," said Itai Rosenfeld, corporate vice president and general manager of Applied's Process Diagnostics and Control business unit.
"We are excited about the momentum the UVision5 tool has achieved with customers. We've had repeat orders for the system and it is already tool of record at multiple leading logic and foundry manufacturers for 2Xnm device production," added Rosenfeld.
The UVision 5 system's powerful optical system provides up to twice the light density to the wafer and, using its proprietary collection optic path, accumulates up to 30% more scattered light than its predecessor. This feature, combined with new, proprietary image processing algorithms that reduce wafer-induced noise by up to 50%, boost the system's detection capabilities for critical monitoring applications, such as ArF immersion lithography, double and quad patterning and EUVL layers.
For foundry customers, the UVision 5 system introduces compelling time-saving innovations that speed the daunting task of rapidly ramping production of thousands of new chip designs each year. Seamless, "hands-free" integration with Applied's industry-standard SEMVision(R) G5 defect review system creates the industry's leading fully-integrated defect inspection and review solution, offering chipmakers the fastest, most accurate path from data to information. In addition, the system can utilize design information for building layout data which can improve defect capture rate and save up to 15 hours of operator time per inspection recipe.
For more information on the UVision 5 system, visit www.appliedmaterials.com/technologies/library/uvision-5-inspection .
Applied Materials, Inc. (Nasdaq:AMAT) is the global leader in providing innovative equipment, services and software to enable the manufacture of advanced semiconductor, flat panel display and solar photovoltaic products. Our technologies help make innovations like smartphones, flat screen TVs and solar panels more affordable and accessible to consumers and businesses around the world. At Applied Materials, we turn today's innovations into the industries of tomorrow. Learn more at www.appliedmaterials.com .
Contact: Connie Duncan (editorial/media) +1-408-563-6209 Michael Sullivan (financial community) +1-408-986-7977
This announcement is distributed by Thomson Reuters on behalf of Thomson Reuters clients.
The owner of this announcement warrants that: (i) the releases contained herein are protected by copyright and other applicable laws; and (ii) they are solely responsible for the content, accuracy and originality of the information contained therein.
Source: Applied Materials via Thomson Reuters ONE
Copyright (c) Thomson Reuters 2012. All rights reserved.
Topic: New Product
Source: Applied Materials, Inc.
Sectors: Electronics
https://www.acnnewswire.com
From the Asia Corporate News Network
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