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Scanning electron microscope (SEM) images of integrated circuits (ICs), which can provide details and information about the internal structure of ICs, play a critical role in hardware trust and assurance tasks. However, noise from various factors, such as equipment performance, environmental interference, etc., has a serious impact on the imaging quality of SEM images, which further leads to an imperfect performance on image feature extraction and analysis.
Aim
To solve the issues mentioned above, an SEM image denoising model based on the denoising diffusion probabilistic models (DDPM) is applied.
Approach
The applied model consists of a forward Gaussian noise addition process and a reverse denoising process. In the forward Gaussian noise addition process, a Markov chain of diffusion steps is used to gradually add random noise to images. In the reverse denoising process, we utilize an improved Unet architecture, which integrates the polarized self-attention (PSA) module into the residual blocks of the Unet structure to gradually transform the standard Gaussian noise to target ground truth (GT) distribution conditioned on the noisy images. Also, in the improved Unet architecture, we add an attention mechanism not only at 2x downsampled resolution but also at 4x and 8x downsampled resolutions to further enhance model performance. Then, we incorporate the complete form of the standard deviation into the reverse process, enabling more precise pixel-level probability predictions. Furthermore, a dataset consisting of noisy images and GT images pairs is proposed.
Results
Through training and evaluation on the dataset, the proposed model exhibits good performance on the test set, achieving a peak signal-to-noise ratio (PSNR) of over 35.82 and a structural similarity (SSIM) of over 0.96.
Conclusions
The proposed model exhibits good performance in SEM image denoising and quality improvement, which provides insight for the denoising method research of SEM images of ICs, further contributing to a positive effect on hardware trust and assurance tasks.
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In extreme ultraviolet lithography, multilayer roughness effects are a key contributor to mask-induced pattern roughness. Replicated roughness from the mask substrate results in a spatially dependent phase error that ultimately manifests as aerial image roughness at the wafer. While previous studies have examined the impact of multilayer roughness on line/space patterns, the impact on 2D patterns, i.e., contacts and vias, has not been thoroughly examined. We investigate the impact of multilayer roughness on contact hole patterns for both tantalum and ruthenium absorber materials. We observe that multilayer roughness, and in particular the resulting phase curvature, gives rise to local shifts in best focus consistent with experimentally observed phenomena.
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TOPICS: Extreme ultraviolet lithography, Electron beam lithography, Lithography, Line edge roughness, Film thickness, Etching, Scanning electron microscopy, Solubility, Line width roughness, Molecules
Traditional chemically amplified resists (CARs) often suffer from high line-edge roughness (LER), primarily due to acid diffusion and the uneven distribution of reactive components. Nonchemically amplified resists (n-CARs) emerge as a promising solution to overcome the limitations. Molecular glasses (MGs), a type of organic compounds known for their distinct and well-defined structures, are particularly noteworthy for their homogeneity. The innovative design of MG-based n-CARs represents a significant stride toward overcoming the limitations inherent in CAR systems.
Aim
Development and performance evaluation of n-CARs utilizing the multi-sulfonium modified triptycene molecule for advanced lithography techniques, such as electron beam lithography (EBL) and extreme ultraviolet lithography (EUVL).
Approach
A multi-sulfonium modified triptycene (TPESF6) was synthesized and characterized. This compound undergoes a photochemical reaction in which the sulfonium groups are transformed into thioethers, resulting in a substantial switch in polarity and thereby in solubility. The lithography performance of the TPESF6 resist was evaluated by EBL and EUVL. The lithographic patterns were analyzed by scanning electron microscopy and atomic force microscopy.
Results
TPESF6 resist demonstrated remarkable performance in EBL, achieving a 20 nm line/space (L/S) patterns as a negative-tone resist developed by water. Further evaluations using EUVL yielded an impressive 13 nm L/S pattern at a dose of 372.6mJ/cm2 with a very low LER of 1.8 nm. Mechanistic studies show that the change in solubility of TPESF6 resist depends on the decomposition of the sulfonium cation and triflate anion groups.
Conclusions
The TPESF6 molecular resist shows high resolution and low LER, as evidenced by tests conducted using both EBL and EUVL. The integration of MG resist characteristics with the concept of n-CARs significantly improves the resolution and reduces the LER, offering a promising pathway for high-performance materials for advanced lithography.
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As the resource-intensive semiconductor industry progresses, concerns about environmental sustainability are intensifying, and efforts to achieve sustainable chip manufacturing are accelerating. As the complexity of process steps and nodes increases significantly to achieve narrower pitches, the lithography process, which consumes a substantial amount of power, has emerged as a critical issue in terms of electrical energy consumption. We propose a novel process that substantially reduces electricity consumption as a feasible alternative to the conventional thermal crosslinking approach. We provide a comprehensive discussion of an optical crosslinking system designed to crosslink underlayer materials, such as spin-on carbon and spin-on glass, solely through light exposure, thereby eliminating the need for heat. By replacing the traditional thermal baking system, which is energy-intensive, with the energy-efficient optical crosslinking system, we demonstrate the potential to save both energy and processing time on the track without compromising lithographic performance. To validate the feasibility of the proposed approach and materials, we conducted film crosslinking confirmation and etch rate tests using light-curable underlayer materials. Subsequently, we analyzed and evaluated the performance of pitch 28 nm line/space patterning under optimized curing conditions. The patterning tests with light-curable underlayers yielded competitive results compared with those with the thermal underlayer. The introduction of the innovative optical crosslinking system can contribute to harmonizing environmental sustainability with the semiconductor industry, providing ecological benefits and facilitating sustainable semiconductor manufacturing.
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Pattern collapse emerges as a key factor leading to the failure of photoresist patterns in high-resolution extreme ultraviolet lithography (EUVL). Its significance escalates as feature sizes decrease and pitches become smaller, transitioning to high-numerical aperture extreme ultraviolet, potentially leading to challenges with regard to resolution. Pattern collapse arises from capillary forces acting on the resist surface during wafer drying. Consequently, the optimal strategy to mitigate pattern collapse involves eliminating any drying steps post-lithography processing. We introduce the organic dry development rinse (O-DDR) process for spin-on metal oxide resist, effectively eliminating capillary force and eradicating the pattern collapse issue without tone inversion. This involves dispensing O-DDR material instead of employing a spin-drying developer, without introducing any extra processing steps. After the dry etching process, we observe that the resist patterns, such as pitch 32-nm pillars and pitch 28-nm line and space, appear to have mostly no collapse at small pitches or low doses. Furthermore, we analyze the O-DDR process, intending to expand the window for a failure-free process with pitch 32-nm pillars and pitch 28-nm line and space in EUVL.
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