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Dive into the research topics where Alex Miloslavsky is active.

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Featured researches published by Alex Miloslavsky.


Proceedings of SPIE | 2011

Layout decomposition of self-aligned double patterning for 2D random logic patterning

Yongchan Ban; Alex Miloslavsky; Kevin Lucas; Soo-Han Choi; Chul-Hong Park; David Z. Pan

Self-aligned double pattering (SADP) has been adapted as a promising solution for sub-30nm technology nodes due to its lower overlay problem and better process tolerance. SADP is in production use for 1D dense patterns with good pitch control such as NAND Flash memory applications, but it is still challenging to apply SADP to 2D random logic patterns. The favored type of SADP for complex logic interconnects is a two mask approach using a core mask and a trim mask. In this paper, we first describe layout decomposition methods of spacer-type double patterning lithography, then report a type of SADP compliant layouts, and finally report SADP applications on Samsung 22nm SRAM layout. For SADP decomposition, we propose several SADP-aware layout coloring algorithms and a method of generating lithography-friendly core mask patterns. Experimental results on 22nm node designs show that our proposed layout decomposition for SADP effectively decomposes any given layouts.


Proceedings of SPIE | 2008

Interactions of double patterning technology with wafer processing, OPC and design flows

Kevin Lucas; Chris Cork; Alex Miloslavsky; Gerry Luk-Pat; Levi D. Barnes; John Hapli; John Lewellen; Greg Rollins; Vincent Wiaux; Staf Verhaegen

Double patterning technology (DPT) is one of the main options for printing logic devices with half-pitch less than 45nm; and flash and DRAM memory devices with half-pitch less than 40nm. DPT methods decompose the original design intent into two individual masking layers which are each patterned using single exposures and existing 193nm lithography tools. The results of the individual patterning layers combine to re-create the design intent pattern on the wafer. In this paper we study interactions of DPT with lithography, masks synthesis and physical design flows. Double exposure and etch patterning steps create complexity for both process and design flows. DPT decomposition is a critical software step which will be performed in physical design and also in mask synthesis. Decomposition includes cutting (splitting) of original design intent polygons into multiple polygons where required; and coloring of the resulting polygons. We evaluate the ability to meet key physical design goals such as: reduce circuit area; minimize rework; ensure DPT compliance; guarantee patterning robustness on individual layer targets; ensure symmetric wafer results; and create uniform wafer density for the individual patterning layers.


Proceedings of SPIE | 2012

Design compliance for spacer is dielectric (SID) patterning

Gerard Luk-Pat; Alex Miloslavsky; Ben Painter; Li Lin; Peter De Bisschop; Kevin Lucas

Self-Aligned Double Patterning (SADP) is a strong candidate for the lower-Metal layers of the 14 nm node. Compared to Litho-Etch-Litho-Etch (LELE) Double Patterning, SADP has lower LWR (line-width roughness), tighter line-end minimum spacing, and lower sensitivity to overlay errors. However, design for SADP is more restricted than for LELE. This work explores the design of layouts compatible with the Spacer Is Dielectric (SID) flavor of SADP. It is easy to find layouts that are LELE-compliant but not SID-compliant. One reason is that polygon stitching is not allowed in SID. Another is that certain drawn-space values are forbidden in SID. In this paper, we will write down some basic rules for SID-compliant design, and introduce some SID-printing artifacts that may be worrisome.


Proceedings of SPIE | 2013

Avoiding wafer-print artifacts in spacer is dielectric (SID) patterning

Gerard Luk-Pat; Ben Painter; Alex Miloslavsky; Peter De Bisschop; Adam Beacham; Kevin Lucas

For patterning the upper Metal layers of the 10 nm node, Spacer Is Dielectric (SID) Patterning is the leading candidate. Compared to Litho-Etch-Litho-Etch Double Patterning, SID has lower line-width roughness, tighter line-end spacing, and lower sensitivity to overlay errors. However, SID places more restrictions on design, and creates wafer-printing artifacts or “spurs.” These printing artifacts arise because SID uses a subtractive trim etch to create “negative contours,” which are very different from the positive contours of single-exposure patterning. In this work, we show the origin of these spurs, and present rule-based decomposition methods to avoid or mitigate them.


Proceedings of SPIE | 2010

Implementing and validating double patterning in 22-nm to 16-nm product design and patterning flows

Myung-Soo Noh; Beom-Seok Seo; Suk-joo Lee; Alex Miloslavsky; Christopher Cork; Levi D. Barnes; Kevin Lucas

In double-patterning technology (DPT), we study the complex interactions of layout creation, physical design and design rule checking flows for the 22nm and 16nm device nodes. Decomposition includes the cutting (splitting) of original design-intent features into new overlapping polygons where required; and the coloring of all the resulting polygons into two mask layouts. We discuss the advantages of geometric distribution for polygon operations with the limited range of influence. Further, we find that even the naturally global coloring step can be handled in a geometrically local manner. We analyze and compare the latest methods for designing, processing and verifying DPT methods including the 22nm and 16nm nodes.


Proceedings of SPIE | 2015

Layout optimization with assist features placement by model based rule tables for 2x node random contact

Jinhyuck Jun; Minwoo Park; Chanha Park; Hyunjo Yang; Donggyu Yim; Munhoe Do; Dongchan Lee; Taehoon Kim; Jung-Hoe Choi; Gerard Luk-Pat; Alex Miloslavsky

As the industry pushes to ever more complex illumination schemes to increase resolution for next generation memory and logic circuits, sub-resolution assist feature (SRAF) placement requirements become increasingly severe. Therefore device manufacturers are evaluating improvements in SRAF placement algorithms which do not sacrifice main feature (MF) patterning capability. There are known-well several methods to generate SRAF such as Rule based Assist Features (RBAF), Model Based Assist Features (MBAF) and Hybrid Assisted Features combining features of the different algorithms using both RBAF and MBAF. Rule Based Assist Features (RBAF) continue to be deployed, even with the availability of Model Based Assist Features (MBAF) and Inverse Lithography Technology (ILT). Certainly for the 3x nm node, and even at the 2x nm nodes and lower, RBAF is used because it demands less run time and provides better consistency. Since RBAF is needed now and in the future, what is also needed is a faster method to create the AF rule tables. The current method typically involves making masks and printing wafers that contain several experiments, varying the main feature configurations, AF configurations, dose conditions, and defocus conditions – this is a time consuming and expensive process. In addition, as the technology node shrinks, wafer process changes and source shape redesigns occur more frequently, escalating the cost of rule table creation. Furthermore, as the demand on process margin escalates, there is a greater need for multiple rule tables: each tailored to a specific set of main-feature configurations. Model Assisted Rule Tables(MART) creates a set of test patterns, and evaluates the simulated CD at nominal conditions, defocused conditions and off-dose conditions. It also uses lithographic simulation to evaluate the likelihood of AF printing. It then analyzes the simulation data to automatically create AF rule tables. It means that analysis results display the cost of different AF configurations as the space grows between a pair of main features. In summary, model based rule tables method is able to make it much easier to create rule tables, leading to faster rule-table creation and a lower barrier to the creation of more rule tables.


Spie Newsroom | 2012

Triple patterning in 10nm node metal lithography

Kevin Lucas; Chris Cork; Bei Yu; David Z. Pan; Gerry Luk-Pat; Alex Miloslavsky; Ben Painter

The local metallization layers of logic products are historically the densest layouts to lithographically pattern and are key drivers of product density (and therefore cost). Due to delays in extreme-UV (EUV) lithography and difficulties in applying other resolution-enhancement technologies (RETs)— such as double-patterning methods—triple-patterning technology (TPT) is a strong option for handling the local metal layers of the upcoming 10nm logic technology node ( 44–48nm minimum feature pitch). Several TPT methods, including ones developed by us, are being considered in different product areas of semiconductor manufacturing.1, 2 For advanced logic metal layers, the main TPT option assumes a process flow known as litho-etch-litho-etch-litho-etch (LELELE). In this flow, the final substrate pattern is the logical OR of three successive lithography+etch sequences, each sequence using a single traditional lithography exposure and a single etch step (see Figure 1). The use of LELELE TPT in a product design and production flow involves the following steps: design of TPT-compliant layout; design verification; decomposition of the layout into the three TPT single-exposure wafer targets (via TPT decomposition software); RET/optical proximity correction (OPC) steps for each single-exposure wafer target; OPC verification; mask data preparation; mask manufacture; and wafer processing in the fabrication facility (fab). There are many difficulties in achieving a high-yielding, cost-effective TPT process. Here, we first look at problems in mask manufacture and wafer production flow, especially cost, turn-around time, and the logistical challenges of tripling the number of mask and fab process steps per layer. However, the complexity and process control requirements of a TPT mask and wafer flow also increase substantially. Moreover, potential negative interactions can cause device failure between feature edge placements from the different litho-etch Figure 1. Examples of metal routing configuration in design and with double (DPT) and triple patterning technology (TPT), showing the potentially large benefit for pattern density of triple patterning for 1D features. The different colors of the polygon in the decomposed layouts represent the different mask target layouts (two masks for DPT, three masks for TPT).


Archive | 2008

Method and system for post-routing lithography-hotspot correction of a layout

Yang-Shan Tong; Daniel Zhang; Linni Wei; Alex Miloslavsky; Wei-Chih Tseng; ZongWu Tang


Archive | 2008

PATTERN-CLIP-BASED HOTSPOT DATABASE SYSTEM FOR LAYOUT VERIFICATION

ZongWu Tang; Daniel Zhang; Alex Miloslavsky; Subarnarekha Sinha; Jingyu Xu; Kent Y. Kwang; Kevin Beaudette


Proceedings of SPIE, the International Society for Optical Engineering | 2009

Parallel Processing for Pitch Splitting Decomposition

Levi D. Barnes; Yong Li; David Wadkins; Steve Biederman; Alex Miloslavsky; Chris Cork

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