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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Xiong Jinyu Zhang Min-Chun Tsai Yan Wang Zhiping Yu |
| Copyright Year | 2008 |
| Description | Author affiliation: Adv. Technol. Group, Synopsys Inc., Mountain View, CA, USA (Min-Chun Tsai) || Inst. of Microelectron., Tsinghua Univ., Beijing, China (Wei Xiong; Jinyu Zhang; Yan Wang; Zhiping Yu) |
| Abstract | Inverse Lithography Technology (ILT) is a promising solution to enhance the resolution of the optical system in deep-subwavelength lithography. In this paper, we introduce a gradient-based framework for mask synthesis. Firstly, we model the mask-to-wafer process using a continuous transfer function. Then Newton iterations are employed to solve the continuous inverse problems. Finally, we apply our framework to the mask synthesis for 65 nm SRAM manufacturing. The simulation results show that the optimized masks can be efficiently obtained and good fidelity in patterning is achieved. |
| Starting Page | 2276 |
| Ending Page | 2279 |
| File Size | 1750696 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424421855 |
| DOI | 10.1109/ICSICT.2008.4735024 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Random access memory Manufacturing Lithography Optical imaging Inverse problems Equations Nonlinear optics Constraint optimization Electromagnetic modeling Fourier transforms |
| Content Type | Text |
| Resource Type | Article |
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