{"title":"基于多探头波长的晶圆级金属薄膜厚度扫描纳秒瞬态热反射仪","authors":"Guoliang Ma, Biwei Meng, Shaojie Zhou, Yali Mao, Yunliang Ma, Xinglin Xiao, Chao Yuan","doi":"10.1016/j.measurement.2024.116247","DOIUrl":null,"url":null,"abstract":"<div><div>The present metal film thickness (<em>d</em><sub>Metal</sub>) measurement methods (e.g., profiler and electron microscope) are not able to simultaneously achieve non-invasion, wide measurement range, high-resolution, and wafer-level scanning. In this work, a <em>d</em><sub>Metal</sub> measurement method based on multiple probe wavelengths transient thermoreflectance (MW-TTR) is developed. Through a systematic sensitivity discussion, the guidance for reliable <em>d</em><sub>Metal</sub> measurement is illustrated theoretically. The realization of measuring different types of metals (Au, Al, Ni, Ti) is achieved with different wavelengths of probe lights. After the rigorous comparison with profiler and picosecond acoustic measurement, the accuracy of measuring nanosized film is verified (∼1% difference). The fitting uncertainties of <em>d</em><sub>Metal</sub> are < 5 % for Au and Al metals. The high-throughput wafer-level scanning measurement, with a spatial resolution of ∼ 50 μm, is also realized by integrating automatic displacement control and deep learning fast predicting model into MW-TTR. Spatial mapping of <em>d</em><sub>Metal</sub> is consistent with profiler measurement (∼5% deviation in 2000 μm length).</div></div>","PeriodicalId":18349,"journal":{"name":"Measurement","volume":"242 ","pages":"Article 116247"},"PeriodicalIF":5.2000,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Wafer-level metal thin film thickness scanning based on multiple probe wavelengths nanosecond transient thermoreflectance\",\"authors\":\"Guoliang Ma, Biwei Meng, Shaojie Zhou, Yali Mao, Yunliang Ma, Xinglin Xiao, Chao Yuan\",\"doi\":\"10.1016/j.measurement.2024.116247\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The present metal film thickness (<em>d</em><sub>Metal</sub>) measurement methods (e.g., profiler and electron microscope) are not able to simultaneously achieve non-invasion, wide measurement range, high-resolution, and wafer-level scanning. In this work, a <em>d</em><sub>Metal</sub> measurement method based on multiple probe wavelengths transient thermoreflectance (MW-TTR) is developed. Through a systematic sensitivity discussion, the guidance for reliable <em>d</em><sub>Metal</sub> measurement is illustrated theoretically. The realization of measuring different types of metals (Au, Al, Ni, Ti) is achieved with different wavelengths of probe lights. After the rigorous comparison with profiler and picosecond acoustic measurement, the accuracy of measuring nanosized film is verified (∼1% difference). The fitting uncertainties of <em>d</em><sub>Metal</sub> are < 5 % for Au and Al metals. The high-throughput wafer-level scanning measurement, with a spatial resolution of ∼ 50 μm, is also realized by integrating automatic displacement control and deep learning fast predicting model into MW-TTR. Spatial mapping of <em>d</em><sub>Metal</sub> is consistent with profiler measurement (∼5% deviation in 2000 μm length).</div></div>\",\"PeriodicalId\":18349,\"journal\":{\"name\":\"Measurement\",\"volume\":\"242 \",\"pages\":\"Article 116247\"},\"PeriodicalIF\":5.2000,\"publicationDate\":\"2024-11-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Measurement\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263224124021328\",\"RegionNum\":2,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Measurement","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263224124021328","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Wafer-level metal thin film thickness scanning based on multiple probe wavelengths nanosecond transient thermoreflectance
The present metal film thickness (dMetal) measurement methods (e.g., profiler and electron microscope) are not able to simultaneously achieve non-invasion, wide measurement range, high-resolution, and wafer-level scanning. In this work, a dMetal measurement method based on multiple probe wavelengths transient thermoreflectance (MW-TTR) is developed. Through a systematic sensitivity discussion, the guidance for reliable dMetal measurement is illustrated theoretically. The realization of measuring different types of metals (Au, Al, Ni, Ti) is achieved with different wavelengths of probe lights. After the rigorous comparison with profiler and picosecond acoustic measurement, the accuracy of measuring nanosized film is verified (∼1% difference). The fitting uncertainties of dMetal are < 5 % for Au and Al metals. The high-throughput wafer-level scanning measurement, with a spatial resolution of ∼ 50 μm, is also realized by integrating automatic displacement control and deep learning fast predicting model into MW-TTR. Spatial mapping of dMetal is consistent with profiler measurement (∼5% deviation in 2000 μm length).
期刊介绍:
Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.