2008Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Verification of mask manufacturing load estimation (MiLE)

Yoshikazu Nagamura, Shogo Narukawa, Yoshiharu Shika, Hiroshi Kabashima, Aki Nakajo, Isao Miyazaki, Satoshi Aoyama, Yasutaka Morikawa, Hiroshi Mohri, Tomoko Hatada, Masahiro Kato, Hidemichi Kawase

Open publisher page 0 citations

Abstract

The design shrinking of semiconductor devices and the pattern complexity generated after OPC (optical proximity correction) have an impact on the two major cost consuming processes in mask manufacturing, EB (electron beam) writing and defect assurance. Mask-DFM (design for manufacturing) is a technique with various steps ranging from the design to the mask manufacturing to produce the mask friendly designs and to reduce the workload in the advanced mask production. We have previously reported on our system, called MiLE (Mask manufacturing Load Estimation), which quantifies the mask manufacturing workload by using the results of mask layout analyses. MiLE illustrates the benefits of mask-DFM efforts as numerical indexes and accelerates the DFM approaches. In this paper, we will show the accuracy of the workload estimation of the advanced devices by the comparison between the indexes and the process times in the actual mask manufacturing. The throughput of MiLE calculation of the production masks of a 65nm device was measured.

About this research paper

What this paper is about

The design shrinking of semiconductor devices and the pattern complexity generated after OPC (optical proximity correction) have an impact on the two major cost consuming processes in mask manufacturing, EB (electron beam) writing and defect assurance. Mask-DFM (design for manufacturing) is a technique with various steps ranging from the design to the mask manufacturing to produce the mask friendly designs and to reduce the workload in the advanced mask production. We have previously reported on our system, called MiLE (Mask manufacturing Load Estimation), which quantifies the mask manufacturing workload by using the results of mask layout analyses. MiLE illustrates the benefits of mask-DFM efforts as numerical indexes and accelerates the DFM approaches. In this paper, we will show the accuracy of the workload estimation of the advanced devices by the comparison between the indexes and the process times in the actual mask manufacturing. The throughput of MiLE calculation of the production masks of a 65nm device was measured.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The design shrinking of semiconductor devices and the pattern complexity generated after OPC (optical proximity correction) have an impact on the two major cost consuming processes in mask manufacturing, EB (electron beam) writing and defect assurance. Mask-DFM (design for manufacturing) is a technique with various steps ranging from the design to the mask manufacturing to produce the mask friendly designs and to reduce the workload in the advanced mask production. We have previously reported on our system, called MiLE (Mask manufacturing Load Estimation), which quantifies the mask manufacturing workload by using the results of mask layout analyses. MiLE illustrates the benefits of mask-DFM efforts as numerical indexes and accelerates the DFM approaches. In this paper, we will show the accuracy of the workload estimation of the advanced devices by the comparison between the indexes and the process times in the actual mask manufacturing. The throughput of MiLE calculation of the production masks of a 65nm device was measured.

Key concepts: Design for manufacturability, Workload, Semiconductor device fabrication, Computer science, Manufacturing cost, Optical proximity correction, Mile, Process (computing)

Related papers

Back to paper searchBrowse research topicsOriginal source
Verification of mask manufacturing load estimation (MiLE) — Research Paper | ScholarLens