With the delay of a next-node lithography solution, lithographers are required to evaluate
double patterning techniques such as double pattern/double etch (DP/DE) to meet scaling
targets for the 22nm logic node. The tightest design rule level to pattern has traditionally
been the first metal level. For this node, target minimum pitches are below 32 nm half
pitch in order to meet cell area requirements. In this paper, we explore implications of
the DP/DE approach when applied to complex 2D metal patterns. In addition to
evaluating stitching rules for line ends, we move into complicated patterning structures
such as landing pads neighboring metal runners and arrays of dense landing pads. These
feature types are critical for area scaling; however, when these structures are patterned in
a DP/DE scheme, the minimum area of the features needed for each pattern layer can be
quite small. In this work, we explore minimum area rules for stitching together patterns
as function of overlap with first pattern, minimum area and proximity to unrelated trench features on the same pattern. These results are shown thru simulation and on the wafer scale using a DP/DE approach which uses current 28 nm node imaging techniques.
As design rules and corresponding logic standard cell layouts continue to shrink node-on-node in
accordance with Moore's law, complex 2D interactions, both intra-cell and between cells, become much
more prominent. For example, in lithography, lack of scaling of λ/NA implies aggressive use of resolution
enhancement techniques to meet logic scaling requirements-resulting in adverse effects such as
'forbidden pitches'-and also implies an increasing range of optical influence relative to cell size. These
adverse effects are therefore expected to extend well beyond the cell boundary, leading to lithographic
marginalities that occur only when a given cell is placed "in context" with other neighboring cells in a
variable design environment [1]. This context dependence is greatly exacerbated by increased use of strain
engineering techniques such as SiGe and dual-stress liners (DSL) to enhance transistor performance, both
of which also have interaction lengths on the order of microns. The use of these techniques also breaks the
formerly straightforward connection between lithographic 'shapes' and end-of-line electrical performance,
thus making the formulation of design rules that are robust to process variations and complex 2D
interactions more difficult.
To address these issues, we have developed a first-principles-based simulation flow to study contextdependent
electrical effects in layout, arising not only from lithography, but also from stress and
interconnect parasitic effects. This flow is novel in that it can be applied to relatively large layout clips-
required for context-dependent analysis-without relying on semi-empirical or 'black-box' models for the
fundamental electrical effects. The first-principles-based approach is ideal for understanding contextdependent
effects early in the design phase, so that they can be mitigated through restrictive design rules.
The lithographic simulations have been discussed elsewhere [1] and will not be presented in detail. The
stress calculations are based on a finite-element method, extrapolated to mobility using internal algorithms.
While these types of calculations are common in '1D' TCAD space, we have modified them to handle ~10
μm X 10 μm clips in reasonable runtime based on advances in software and optimization of computing
resources, structural representations and simulation grids.
In this paper, we discuss development and validation of the simulation flow, and show representative
results of applying this flow to analyze context-dependent problems in a 32-nm low-power CMOS process.
Validation of the flow was accomplished using a well-characterized 40/45-nm CMOS process
incorporating both DSL and SiGe. We demonstrate the utility of this approach not only to establishing
restrictive design rules for avoiding catastrophic context-dependent effects, but also to flag individual cells
and identify cell design practices that exhibit unacceptable levels of context-dependent variability. We
further show how understanding the sources of stress variation is vital to appropriately anchoring SPICE
models to capture the impact of context-dependent electrical effects. We corroborate these simulations
with data from electrical test structures specifically targeted to elucidate these effects.
As design rule (DR) scaling continues to push lithographic imaging to higher numerical aperture (NA) and smaller k1
factor, extensive use of resolution enhancement techniques becomes a general practice. Use of these techniques not only
adds considerable complexity to the design rules themselves, but also can lead to undesired and/or unanticipated
problematic imaging effects known as "hotspots." This is particularly common for metal layers in interconnect
patterning due to the many complex random and bidirectional (2D) patterns present in typical layout. In such situations,
the validation of DR becomes challenging, and the ability to analyze large numbers of 2D layouts is paramount in
generating a DR set that encodes all lithographic constraints to avoid hotspot formation.
Process window (PW) and mask error enhancement factor (MEEF) are the two most important lithographic constraints in
defining design rules. Traditionally, characterization of PW and MEEF by simulation has been carried out using discrete
cut planes. For a complex 2D pattern or a large 2D layout, this approach is intractable, as the most likely location of the
PW or MEEF hotspots often cannot be predicted empirically, and the use of large numbers of cut planes to ensure all
hotspots are detected leads to excessive simulation time. In this paper, we present a novel approach to analyzing fullfield
PW and MEEF using the inverse lithography technology (ILT) technique, [1] in the context of restrictive design
rule development for the 32nm node. Using this technique, PW and MEEF are evaluated on every pixel within a design,
thereby addressing the limitations of cut-plane approach while providing a complete view of lithographic performance.
In addition, we have developed an analysis technique using color bitmaps that greatly facilitates visualization of PW and
MEEF hotspots anywhere in the design and at an arbitrary level of resolution.
We have employed the ILT technique to explore metal patterning options and their impact on 2D design rules. We show
the utility of this technique to quickly screen specific rule and process choices-including illumination condition and
process bias-using large numbers of parameterized structures. We further demonstrate how this technique can be used
to ascertain the full 2D impact of these choices using carefully constructed regression suites based on standard random
logic cells. The results of this study demonstrate how this simulation approach can greatly improve the accuracy and
quality of 2D rules, while simultaneously accelerating learning cycles in the design phase.
Design rule (DR) development strategies were fairly straightforward at earlier technology nodes when node-on-node
scaling could be accommodated easily by reduction of λ/NA. For more advanced nodes, resolution enhancement
technologies such as off-axis illumination and sub-resolution assist features have become essential for achieving full
shrink entitlement, and DR restrictions must be implemented to comprehend the inherent limitations of these techniques
(e.g., forbidden pitches) and the complex and unanticipated 2D interactions that arise from having a large number of
random geometric patterns within the optical ambit.
To date, several factors have limited the extent to which 2D simulations could be used in the DR development cycle,
including exceedingly poor cycle time for optimizing OPC and SRAF placement recipes per illumination condition,
prohibitively long simulation time for characterizing the lithographic process window on large 2D layouts, and difficulty
in detecting marginal lithographic sites using simulations based on discrete cut planes. We demonstrate the utility of the
inverse lithography technology technique [1] to address these limitations in the novel context of restrictive DR
development and design for manufacturability for the 32nm node. Using this technique, the theoretically optimum OPC
and SRAF treatment for each layout are quickly and automatically generated for each candidate illumination condition,
thereby eliminating the need for complex correction and placement recipes. "Ideal" masks are generated to explore
physical limits and subsequently "Manhattanized" in accordance with mask rules to explore realistic process limits.
Lithography process window calculations are distributed across multiple compute cores, enabling rapid full-chip-level
simulation. Finally, pixel-based image evaluation enables hot-spot detection at arbitrary levels of resolution, unlike the
'cut line' approach.
We have employed the ILT technique to explore forbidden-pitch contact hole printing in random logic. Simulations
from cells placed in random context are used to evaluate the effectiveness of restricting pitches in contact hole design
rules. We demonstrate how this simulation approach may not only accelerate the design rule development cycle, but
also may enable more flexibility in design by revealing overly restrictive rules, or reduce the amount of hot-spot fixing
required later in the design phase by revealing where restrictions are needed.
Lithography simulation has proven to be a technical enabler to shorten development cycle time and provide direction
before next-generation exposure tools and processes are available. At the early stages of design rule definition for a new
technology node, small critical areas of layout are of concern, and optical proximity correction (OPC) is required to
allow full exploration of the 2D rule space. In this paper, we demonstrate the utility of fast, resist-model-based, OPC
correction to explore process options and optimize 2D layout rules for advanced technologies. Unlike conventional OPC
models that rely on extensive empirical CD-SEM measurements of real wafers, the resist-based OPC model for the
correction is generated using measured bulk parameters of the photoresist such as dissolution rate. The model therefore
provides extremely accurate analysis capability well in advance of access to advanced exposure tools. We apply this
'virtual patterning' approach to refine lithography tool settings and OPC strategies for a collection of 32-nm-node layout
clips. Different OPC decorations including line biasing, serifs, and assist features, are investigated as a function of NA
and illumination conditions using script-based optimization sequences. Best process conditions are identified based on
optimal process window for a given set of random layouts. Simulation results, including resist profile and CD process
window, are validated by comparison to wafer images generated on an older-generation exposure tool. The ability to
quickly optimize OPC as a function of illumination setting in a single simulation package allows determination of
optimum illumination source for random layouts faster and more accurately than what has been achievable in the past.
This approach greatly accelerates design rule determination.
In this paper we present a method that optimizes the OPC model generation process. The elements in this optimized flow include: an automated test structure layout engine; automated SEM recipe creation and data collection; and OPC model anchoring/validation software. The flow is streamlined by standardizing and automating these steps and their inputs and outputs. A major benefit of this methodology is the ability to perform multiple OPC "screening" refinement loops in a short time before embarking on final model generation. Each step of the flow is discussed in detail, as well as our multi-pass experimental design for converging on a final OPC data set. Implementation of this streamlined process flow drastically reduces the time to complete OPC modeling, and allows generation of multiple complex OPC models in a short time, resulting in faster release and transfer of a next-generation product to manufacturing.
'Local' critical dimension (CD) variations, defined in this paper as those that impact transistor gate lengths within a localized 2.5 mm X 2.5 mm area of a semiconductor device, are of most critical interest to circuit performance, as these errors determine critical path delays. However, these errors are difficult to quantify in the fab and historically have been neglected by the lithography community. We combine an empirically anchored response surface model with a Monte Carlo engine to examine in detail the variation in local CD error across a typical lens field and as a function of various process parameters. This methodology allows for the correct statistical treatment of systematic and random errors, and enables the separation of in-die and die-to-die CD variations (as the former impact yield much more than the latter). We demonstrate that local CD variation defines the space of allowable process errors to a much greater extent than across-chip linewidth variation (ACLV) or die-to-die variation, and we use the output of the model to establish control limits for tool parameters for a candidate 90-nm-node alternating phase-shift gate process.
We demonstrate a technique to print. high-density windows using attenuated phase shift mask, negative photoresist and ArF exposure tool and compare our result with that obtained using a binary mask and positive photoresists.
The accurate prediction of relevant optical and other processing effects is the essential first element of optical proximity effect (OPC) methodologies. A quasi-empirical modeling technique has been devised. Starting from standard aerial-image energy deposition, an exponential transfer function is employed to account for saturation effects. This is then followed by a double-Gaussian diffusion convolution. Finally, a novel 2-dimensional log-slope model was devised to better predict some DUV processes. The model parameters are derived from a few empirical measurements and a fitting process. The calibrated model is then used by a rule-based OPC package to correct a variety of structures. Efficient verification techniques suitable for large area designs are introduced.
Symmetrically configured ac light-emitting (SCALE) devices based on conjugated polymers utilizing indium-tin oxide (ITO) and aluminum as electrodes have been demonstrated recently. Here we report the fabrication of SCALE devices using a more stable high workfunction metal, such as gold, as a charge (both electron and hole) injection electrode. Also, a variation of such devices in which the electroluminescent polymer, instead of being separated from the insulating polymer, is dispersed in the insulating polymer to form a unified emitter-insulator is reported. These devices emit light in both forward and reverse dc bias with symmetric current- voltage characteristics. Under low frequency ac (sinusoidal) driving voltage, light pulses with double the driving frequency are observed. A model is proposed to account for the device operation.
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