Photomask Defect Inspection and Metrology for Semiconductor Lithography Technology

半导体光刻技术的光掩模缺陷检测和计量

基本信息

  • 批准号:
    1855473
  • 负责人:
  • 金额:
    $ 29.88万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-07-01 至 2023-06-30
  • 项目状态:
    已结题

项目摘要

Semiconductors are the indispensable components of a wide range of products, such as smartphones and electrical appliances, and this award contributes to the creation of new knowledge in photomask inspection and metrology for the semiconductor industry. The availability of the interferometry inspection technology helps enhance the lithography manufacturing resolution, promote miniaturization and increase the performance and reduce the cost of electronic devices. In semiconductor manufacturing processes, photomasks with holes and transparencies that allow light to shine through in a defined pattern are an enabling technology for lithography. Photomask defects, such as unwanted patterns, contaminations and substrate flaws, become increasingly important sources of inaccuracies in the lithography processes and patterning. This award supports fundamental research to develop new measurement principles in photomask inspection, metrology, design and manufacturing. The project's inspection technique and simulation methods enable the determination of photomask quality. The method identifies photomask defects, creates defect models and compensates for lithography manufacturing errors. As a result, this research provides photomask manufacturers with significant time and cost savings by automating the photomask defect analysis process, which benefits the photomask, lithography machine tool and semiconductor manufacturing industries and, thus, the U.S. economy. This project provides interdisciplinary research experience for students, broadens participation of underrepresented groups in research through a precision metrology internship program, and influences engineering education through a course in Mechanical Measurements and Precision Machine Tools. As the photomask industry progresses towards smaller and smaller technology nodes, the need for more aggressive inspection becomes critical. Photomask inspection involves checking the correctness of the fabricated photomasks used for semiconductor device fabrication. The projected images of the defective photomask appear as irregularities, such as, line widths that are narrower or wider than designed, line-edge roughness of the patterns and distortions that may significantly alter the mechanical and electrical properties of what is being fabricated. This problem becomes more pronounced since photomask complexity rises with the complexity of new semiconductor chips. This research fills a critical knowledge gap in inspection technology and fundamental identification of photomask defects by using knife-edge diffraction interferometry (KEDI) and artificial neural network models. Through insights obtained from rigorous simulation tools and experimental results, the research team determines that the printability of lithography photomask defects can be quantitatively characterized prior to lithography operation and the simulation model can be extended to compensate for image distortions that occur during sub-wavelength lithography using printed structures smaller than the wavelength of light.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
半导体是智能手机和电器等各种产品不可或缺的组成部分,该奖项有助于为半导体行业创造光掩模检测和计量方面的新知识。干涉检测技术的出现有助于提高光刻制造的分辨率,促进电子器件的小型化和提高性能,降低成本。 在半导体制造工艺中,具有允许光以限定图案照射通过的孔和棱镜的光掩模是用于光刻的使能技术。光掩模缺陷,例如不需要的图案、污染和衬底缺陷,成为光刻工艺和图案化中越来越重要的不准确性来源。该奖项支持基础研究,以开发光掩模检查,计量,设计和制造中的新测量原理。该项目的检测技术和模拟方法使光掩模质量的确定。该方法识别光掩模缺陷,创建缺陷模型并补偿光刻制造误差。因此,本研究通过自动化光掩模缺陷分析过程为光掩模制造商提供了显著的时间和成本节约,这有利于光掩模,光刻机和半导体制造业,从而有利于美国经济。该项目为学生提供跨学科的研究经验,通过精密计量实习计划扩大了代表性不足的群体在研究中的参与,并通过机械测量和精密机床课程影响工程教育。随着光掩模行业朝着越来越小的技术节点发展,对更积极的检查的需求变得至关重要。光掩模检查涉及检查用于半导体器件制造的所制造的光掩模的正确性。有缺陷的光掩模的投影图像表现为不规则性,例如,比设计的更窄或更宽的线宽、图案的线边缘粗糙度以及可能显著改变正在制造的东西的机械和电性能的变形。由于光掩模的复杂性随着新的半导体芯片的复杂性而增加,因此该问题变得更加突出。本研究填补了一个关键的知识空白,在检测技术和基本识别的光掩模缺陷,使用刀口衍射干涉术(KEDI)和人工神经网络模型。通过从严格的模拟工具和实验结果中获得的见解,研究小组确定,光刻光掩模缺陷的可印刷性可以在光刻操作之前定量表征,并且模拟模型可以扩展以补偿在亚光刻期间发生的图像失真。使用小于光波长的印刷结构的波长光刻。该奖项反映了NSF的法定使命,并已被视为通过使用基金会的知识价值和更广泛的影响审查标准进行评估,

项目成果

期刊论文数量(5)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
REVIEW OF KEI METHOD-BASED DIMENSIONAL MEASUREMENT, POSITIONING CONTROL AND PART INSPECTION
基于 KEI 方法的尺寸测量、定位控制和零件检测综述
A Fringe Pattern Analysis Technique for Photomask Line-Edge-Roughness Characterization
光掩模线边缘粗糙度表征的条纹图案分析技术
Preliminary study of photomask pattern inspection by beam-shaped knife-edge interferometry
光束形刀口干涉光掩模图形检测初步研究
  • DOI:
    10.1016/j.precisioneng.2022.05.011
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Wang, Zhikun;Lin, Pengfei;Lee, ChaBum
  • 通讯作者:
    Lee, ChaBum
Qualitative Edge Topology Inspection and Interpretation by Enhanced Knife-Edge Interferometry
通过增强型刀口干涉测量法进行定性边缘拓扑检查和解释
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

ChaBum Lee其他文献

Multifunctional and flexible graphene oxide/silk sericin/carbon nanotube thin films on polyimide for real-time humidity sensing
聚酰亚胺上用于实时湿度传感的多功能柔性氧化石墨烯/丝胶蛋白/碳纳米管薄膜
  • DOI:
    10.1016/j.eurpolymj.2025.113731
  • 发表时间:
    2025-02-14
  • 期刊:
  • 影响因子:
    6.300
  • 作者:
    Chanui Lee;Hyeonho Cho;Jihye Choi;ChaBum Lee;Sangmin Lee;Dong Kyu Kim;Sunghan Kim
  • 通讯作者:
    Sunghan Kim
Silicon-via (Si-via) hole metrology and inspection by grayfield edge diffractometry
通过灰场边缘衍射法进行硅通孔(Si-via)孔径测量和检测
  • DOI:
    10.1016/j.jmapro.2024.11.086
  • 发表时间:
    2025-01-17
  • 期刊:
  • 影响因子:
    6.800
  • 作者:
    Kuan Lu;Byunggi Kim;Masahiro Nomura;Jiyong Park;ChaBum Lee
  • 通讯作者:
    ChaBum Lee
Line-edge-roughness characterization of photomask patterns and lithography-printed patterns
  • DOI:
    10.1016/j.precisioneng.2024.02.006
  • 发表时间:
    2024-06-01
  • 期刊:
  • 影响因子:
  • 作者:
    Zhikun Wang;Pengfei Lin;Phuc Nguyen;Jingyan Wang;ChaBum Lee
  • 通讯作者:
    ChaBum Lee
A first review of optical edge-diffraction technology for precision dimensional metrology

ChaBum Lee的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('ChaBum Lee', 18)}}的其他基金

Collaborative Research: Data-Driven Metrology and Inspection Technology for Semiconductor Wafer-Level Manufacturing
合作研究:用于半导体晶圆级制造的数据驱动计量和检测技术
  • 批准号:
    2124999
  • 财政年份:
    2021
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
I-Corps: Cutting Tool Wear Monitoring Sensor
I-Corps:切削刀具磨损监测传感器
  • 批准号:
    1926275
  • 财政年份:
    2019
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Improved Freeform Measurement through Fiber-based Metrology
合作研究:通过基于光纤的计量改进自由形状测量
  • 批准号:
    1902697
  • 财政年份:
    2018
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Edge Surface Topography Characterization for Precision Sensing Technology
合作研究:精密传感技术的边缘表面形貌表征
  • 批准号:
    1902686
  • 财政年份:
    2018
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Improved Freeform Measurement through Fiber-based Metrology
合作研究:通过基于光纤的计量改进自由形状测量
  • 批准号:
    1663210
  • 财政年份:
    2017
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Edge Surface Topography Characterization for Precision Sensing Technology
合作研究:精密传感技术的边缘表面形貌表征
  • 批准号:
    1463502
  • 财政年份:
    2015
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant
Collaborative Research: Edge Surface Topography Characterization for Precision Sensing Technology
合作研究:精密传感技术的边缘表面形貌表征
  • 批准号:
    1564254
  • 财政年份:
    2015
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Standard Grant

相似海外基金

CalibXBatt - Calibration of XCT-Automatic Defect Recognition for Battery Inspection [10050292]
CalibXBatt - 用于电池检查的 XCT 自动缺陷识别校准 [10050292]
  • 批准号:
    10061803
  • 财政年份:
    2023
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Collaborative R&D
Automated Sewer Defect Identification for Rapid Sewer Inspection (ASDER)– An application of Privacy and Transparency-Focused Artificial Intelligence
用于快速下水道检查的自动下水道缺陷识别 (ASDER) – 注重隐私和透明度的人工智能的应用
  • 批准号:
    10076017
  • 财政年份:
    2023
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant for R&D
Accurate Defect Sizing and Characterisation for Automated In-Process Welding and WAAM Inspection
自动化过程焊接和 WAAM 检测的精确缺陷尺寸和表征
  • 批准号:
    2744495
  • 财政年份:
    2022
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Studentship
Proposal of Defect Inspection Method for Ferromagnetic Steel Pipe in Heat Exchanger Using DC Bias Square Wave Magnetic Field
换热器铁磁钢管直流偏压方波磁场缺陷检测方法的提出
  • 批准号:
    20K05007
  • 财政年份:
    2020
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Study on defect detection by spatial spectral entropy (SSE) and healthy part evaluation for noncontact acoustic inspection
非接触声学检测中空间谱熵(SSE)缺陷检测和健康部位评估研究
  • 批准号:
    19K04414
  • 财政年份:
    2019
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Defect inspection method based on Cauchy's integral theorem using a circular differential coherent illumination
基于柯西积分定理的圆形差分相干照明缺陷检测方法
  • 批准号:
    18K04172
  • 财政年份:
    2018
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Nanometric surface defect inspection based on the heat flow detection and the collaborative development of a compact scale for measurement of a nanometric displacement(Fostering Joint International Research)
基于热流检测的纳米表面缺陷检测和用于测量纳米位移的紧凑尺度的协作开发(促进国际联合研究)
  • 批准号:
    16KK0119
  • 财政年份:
    2017
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Fund for the Promotion of Joint International Research (Fostering Joint International Research)
Study on improvement of defect detection algorithm for non-contact acoustic inspection
非接触声学检测缺陷检测算法改进研究
  • 批准号:
    15K06195
  • 财政年份:
    2015
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Automated ultrasonic inspection of aerospace composites with enhanced defect detection probabilities aided by gantry deployed, CAD controlled robotics (AutoDISC)
在部署的龙门架、CAD 控制机器人 (AutoDISC) 的帮助下,对航空航天复合材料进行自动超声波检测,提高缺陷检测概率
  • 批准号:
    101800
  • 财政年份:
    2014
  • 资助金额:
    $ 29.88万
  • 项目类别:
    BEIS-Funded Programmes
Laser-based remote sensing for concrete defect using Multi beam inspection
使用多光束检测进行混凝土缺陷激光遥感
  • 批准号:
    26420473
  • 财政年份:
    2014
  • 资助金额:
    $ 29.88万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了