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Dive into the research topics where Martin Plihal is active.

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Featured researches published by Martin Plihal.


advanced semiconductor manufacturing conference | 2016

Novel methods for SPC defect monitoring: Normalizable diversity sampling: Defect inspection

Ian Tolle; Ankit Jain; Martin Plihal; Sumanth Kini

The key to robust SPC control is the inline signals provided by metrology tools (e.g. CD-SEM, Overlay, film thickness measurement) and defect inspection tools (e.g. Surfscan, Broadband Plasma (BBP), Laser Scanning). Wafer defect inspection tools like Broadband Plasma find anomalies and provide defect coordinates to report their locations. Defects reported by the inspection tools are then sampled, or in other words, a sub-set of those defects are chosen for Scanning Electron Beam (SEM) Review. Classification of the defect type is provided using SEM. Due to SEM review throughput limitations, not every defect reported by inspection can be sampled for review. Therefore, the theoretical ideal sampling technique would generate an accurate representation of the true defect population on a wafer solely based on a limited review sample. The paper discusses the methodology for selecting such a review sample, termed diversity sampling. This scheme samples defects based on properties (location on wafer / die, design location, optical characteristics) instead of sampling solely based on defect location. Compared to random sampling, this technique demonstrates reduced error between the normalized defect density reported and the true defect density actually present on the wafer.


International Conference on Extreme Ultraviolet Lithography 2018 | 2018

EUV stochastic defect monitoring with advanced broadband optical wafer inspection and e-beam review systems

Kaushik Sah; Andrew Cross; Martin Plihal; Vidyasagar Anantha; Raghav Babulnath; Peter De Bisschop; Sandip Halder; Derek Fung

As Extreme UltraViolet (EUV) lithography nears high volume manufacturing (HVM) adoption to enable the sub-7nm scaling roadmap, characterizing and monitoring defects that print at wafer level are of critical importance to yield. This is especially true for defects coming from the EUV mask, such as multi-layer defects, added particles or growth on mask, and for defects coming from the pattern formation process itself, also referred to as stochastic printing defects. A “Print Check” solution has been previously described.1 This technique uses full-wafer patterned optical inspection to monitor mask defects that print on the wafer. In this paper we focus on developing metrology solutions for stochastic printing defects, which are random local variations that occur between structures that should, in principle, print identically, but actually occur at significant frequencies with current state-of-the-art processes. Specifically, we discuss the importance of monitoring these defects using broadband plasma optical inspection and e-beam defect review systems. We show extensive characterizations of defects on line space patterns down to a pitch of 36nm, on contact holes at a pitch of 48nm and on logic blocks in a foundry equivalent N5 test vehicle. Analysis methods based on CD SEM and review SEM images have been described.


Archive | 2003

Spatial signature analysis

Peter Eldredge; Patrick Huet; Robinson Piramuthu; Sandeep Bhagwat; Kai Chi; Kai Liu; Martin Plihal; Shaio Roan; Maruti Shanbhag


Archive | 2005

Methods and systems for generating an inspection process for an inspection system

David Y. Wang; Patrick Huet; Tong Huang; Martin Plihal; Adam Chien-Huei Chen; Mike Van Riet; Stewart K. Hill


Archive | 2007

Wafer inspection systems and methods for analyzing inspection data

Paul J Sullivan; George Kren; Eliezer Rosengaus; Patrick Huet; Robinson Piramuthu; Martin Plihal; Yan Xiong


Archive | 2004

Detection of spatially repeating signatures

Patrick Huet; Robinson Piramuthu; Martin Plihal


Archive | 2010

Scanner Performance Comparison And Matching Using Design And Defect Data

Allen Park; Ellis Chang; Masami Aoki; Chris Young; Martin Plihal; Michael J. Van Riet


Archive | 2010

Monitoring of time-varying defect classification performance

Patrick Huet; Brian Duffy; Martin Plihal; Thomas Trautzsch; Chris Maher


Archive | 2008

Process Excursion Detection

Patrick Huet; Robinson Piramuthu; Martin Plihal; Chris W. Lee; Cho H. Teh; Yan Xiong


Archive | 2013

Unbiased Wafer Defect Samples

Martin Plihal; Vidyasagar Anantha; Saravanan Paramasivam; Chris W. Lee

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