Barak Bringoltz
KLA-Tencor
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Publication
Featured researches published by Barak Bringoltz.
Proceedings of SPIE | 2015
Tetyana Shapoval; Bernd Schulz; Tal Itzkovich; Sean Durran; Ronny Haupt; Agostino Cangiano; Barak Bringoltz; Matthias Ruhm; Eric Cotte; Rolf Seltmann; Tino Hertzsch; Eitan Hajaj; Carsten Hartig; Boris Efraty; Daniel Fischer
In the current paper we are addressing three questions relevant for accuracy: 1. Which target design has the best performance and depicts the behavior of the actual device? 2. Which metrology signal characteristics could help to distinguish between the target asymmetry related overlay shift and the real process related shift? 3. How does uncompensated asymmetry of the reference layer target, generated during after-litho processes, affect the propagation of overlay error through different layers? We are presenting the correlation between simulation data based on the optical properties of the measured stack and KLA-Tencor’s Archer overlay measurements on a 28nm product through several critical layers for those accuracy aspects.
Proceedings of SPIE | 2016
Barak Bringoltz; Tal Marciano; Tal Yaziv; Yaron DeLeeuw; Dana Klein; Yoel Feler; Ido Adam; Evgeni Gurevich; Noga Sella; Ze’ev Lindenfeld; Tom Leviant; Lilach Saltoun; Eltsafon Ashwal; Dror Alumot; Yuval Lamhot; Xindong Gao; James Manka; Bryan Chen; Mark Wagner
In this paper we discuss the mechanism by which process variations determine the overlay accuracy of optical metrology. We start by focusing on scatterometry, and showing that the underlying physics of this mechanism involves interference effects between cavity modes that travel between the upper and lower gratings in the scatterometry target. A direct result is the behavior of accuracy as a function of wavelength, and the existence of relatively well defined spectral regimes in which the overlay accuracy and process robustness degrades (`resonant regimes’). These resonances are separated by wavelength regions in which the overlay accuracy is better and independent of wavelength (we term these `flat regions’). The combination of flat and resonant regions forms a spectral signature which is unique to each overlay alignment and carries certain universal features with respect to different types of process variations. We term this signature the `landscape’, and discuss its universality. Next, we show how to characterize overlay performance with a finite set of metrics that are available on the fly, and that are derived from the angular behavior of the signal and the way it flags resonances. These metrics are used to guarantee the selection of accurate recipes and targets for the metrology tool, and for process control with the overlay tool. We end with comments on the similarity of imaging overlay to scatterometry overlay, and on the way that pupil overlay scatterometry and field overlay scatterometry differ from an accuracy perspective.
34th European Mask and Lithography Conference | 2018
Guido Rademaker; Yoann Blancquaert; Lucie Mourier; Thibault Labbaye; Nivea Figueiro; Francisco Sanchez; Roy Koret; Jonathan Pradelles; Stefan Landis; Stephane Rey; Ronny Haupt; Barak Bringoltz; Michael Shifrin; Daniel Kandel; Avron Ger; Matthew Sendelbach; Shay Wolfling; Laurent Pain
Multiple electron beam direct write lithography is an emerging technology promising to address new markets, such as truly unique chips for security applications. The tool under consideration, the Mapper FLX-1200, exposes long 2.2 μm-wide zones called stripes by groups of 49 beams. The critical dimensions inside and the registration errors between the stripes, called stitching, are controlled by internal tool metrology. Additionally, there is great need for on-wafer metrology of critical dimension and stitching to monitor Mapper tool performance and validate the internal metrology. Optical Critical Dimension (OCD) metrology is a workhorse technique for various semiconductor manufacturing tools, such as deposition, etching, chemical-mechanical polishing and lithography machines. Previous works have shown the feasibility to measure the critical dimension of non-uniform targets by introducing an effective CD and shown that the non-uniformity can be quantified by a machine learning approach. This paper seeks to extend the previous work and presents a preliminary feasibility study to monitor stitching errors by measuring on a scatterometry tool with multiple optical channels. A wafer with OCD targets that mimic the various lithographic errors typical to the Mapper technology was created by variable shaped beam (VSB) e-beam lithography. The lithography process has been carefully tuned to minimize optically active systematic errors such as critical dimension gradients. The OCD targets contain horizontal and vertical gratings with a pitch of 100 nm and a nominal CD of 50 nm, and contain various stitching error types such as displacement in X, Y and diagonal gratings. Sensitivity to all stitching types has been shown. The DX targets showed non-linearity with respect to error size and typically were a factor of 3 less sensitive than the promising performance of DY targets. A similar performance difference has seen in nominally identical diagonal gratings exposed with vertical and horizontal lines, suggesting that OCD metrology for DX cannot be fully characterized due to lithography errors in gratings with vertical lines.
Archive | 2014
Barak Bringoltz; Daniel Kandel; Yoel Feler; Noam Sapiens; Irina Paykin; Alexander Svizher; Meir Aloni; Guy Ben Dov; Hadar Shalmoni; Vladimir Levinski
Archive | 2013
Amnon Manassen; Ohad Bachar; Daria Negri; Boris Golovanevsky; Barak Bringoltz; Daniel Kandel; Yoel Feler; Noam Sapiens; Paykin Irina; Alexander Svizher; Meir Aloni; Guy Ben Dov; Hadar Shalmoni; Vladimir Levinski
Archive | 2015
Andrew V. Hill; Amnon Manassen; Barak Bringoltz; Ohad Bachar; Mark Ghinovker; Zeev Bomzon; Daniel Kandel
Archive | 2014
Barak Bringoltz; Irina Vakshtein; Ofir Aharon; Dov Guy Ben; Zeev Bomzon
Archive | 2014
Barak Bringoltz; Mark Ghinovker; Daniel Kandel; Vladimir Levinski; Zeev Bomzon
Archive | 2014
Noam Sapiens; Joel L. Seligson; Vladimir Levinski; Daniel Kandel; Yoel Feler; Barak Bringoltz; Amnon Manassen; Eliav Benisty
Archive | 2016
Tal Marciano; Barak Bringoltz; Evgeni Gurevich; Ido Adam; Ze'ev Lindenfeld; Zeng Zhao; Yoel Feler; Daniel Kandel; Nadav Carmel; Amnon Manassen; Nuriel Amir; Oded Kaminsky; Tal Yaziv; Ofer Zaharan; Moshe Cooper; Roee Sulimarski; Tom Leviant; Noga Sella; Boris Efraty; Lilach Saltoun; Amir Handelman; Eltsafon Ashwal; Ohad Bachar