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    • 6. 发明授权
    • Pattern inspection apparatus and electron beam apparatus
    • 图案检查装置和电子束装置
    • US5430292A
    • 1995-07-04
    • US134860
    • 1993-10-12
    • Ichiro HonjoKenji SugishimaMasaki Yamabe
    • Ichiro HonjoKenji SugishimaMasaki Yamabe
    • G03F1/00H01J37/244H01J37/30H01J37/29
    • G03F1/86H01J37/244H01J37/3005H01J2237/221H01J2237/2441H01J2237/24435H01J2237/2447H01J2237/24495H01J2237/24592H01J2237/2817
    • A pattern inspection apparatus is designed to quickly and accurately perform an inspection of an inspecting sample, such as masks, wafers or so forth by irradiating electron beams onto the inspection sample and detecting a secondary electron or a backscattered electron reflected from the surface of the inspecting sample or a transmission electron passing through the inspection sample. The pattern inspection apparatus includes an electron beam generating means including at least one electron gun for generating at least one electron beam irradiating on the surface of the inspecting sample, a movable means for supporting the inspecting sample, a detecting means including a plurality of electron detecting elements for detecting electrons containing information related to the construction of the inspection sample and a detection signal processing means for processing simultaneously or in parallel formation the outputs of the electron detecting elements of the detecting means. Also, when a plurality of electron beams are used for simultaneous irradiation of the inspecting sample, the pattern inspection apparatus is provided a mechanism for avoiding interference of a reflected beam of the adjacent electron beam.
    • 图案检查装置被设计为通过将电子束照射到检查样品上并检测从检查表面反射的二次电子或反向散射电子,来快速且准确地对检查样品进行检查,例如掩模,晶片等。 样品或通过检查样品的透射电子。 图案检查装置包括:电子束产生装置,包括至少一个电子枪,用于产生照射在检查样品的表面上的至少一个电子束;支撑检查样品的可移动装置;检测装置,包括多个电子检测 用于检测包含与检查样品的构造相关的信息的电子的元件和用于同时或并行地形成检测装置的电子检测元件的输出的检测信号处理装置。 此外,当使用多个电子束同时照射检查样本时,图案检查装置被提供用于避免相邻电子束的反射光束的干涉的机构。
    • 8. 发明授权
    • Method and apparatus for self-learning and self-improving a semiconductor manufacturing tool
    • 用于自学习和自我改进的半导体制造工具的方法和装置
    • US08396582B2
    • 2013-03-12
    • US12697121
    • 2010-01-29
    • Sanjeev KaushalSukesh Janubhai PatelKenji Sugishima
    • Sanjeev KaushalSukesh Janubhai PatelKenji Sugishima
    • G06F15/18G06N3/08G06N3/12
    • G06N99/005G05B13/0265G06N5/04
    • System(s) and method(s) for optimizing performance of a manufacturing tool are provided. Optimization relies on recipe drifting and generation of knowledge that capture relationships among product output metrics and input material measurement(s) and recipe parameters. Optimized recipe parameters are extracted from a basis of learned functions that predict output metrics for a current state of the manufacturing tool and measurements of input material(s). Drifting and learning are related and lead to dynamic optimization of tool performance, which enables optimized output from the manufacturing tool as the operation conditions of the tool changes. Features of recipe drifting and associated learning can be autonomously or externally configured through suitable user interfaces, which also can be drifted to optimize end-user interaction.
    • 提供了用于优化制造工具性能的系统和方法。 优化依赖于食谱漂移和产生知识,捕获产品输出指标和输入材料测量和配方参数之间的关系。 从学习功能的基础提取优化的配方参数,该函数预测制造工具的当前状态的输出度量和输入材料的测量。 漂移和学习相关,导致刀具性能的动态优化,从而随着刀具的操作条件的变化,可以优化制造工具的输出。 配方漂移和相关学习的特征可以通过适当的用户界面进行自主或外部配置,也可以通过漂移来优化最终用户交互。
    • 9. 发明申请
    • AUTONOMOUS BIOLOGICALLY BASED LEARNING TOOL
    • 自主生物学的学习工具
    • US20110131162A1
    • 2011-06-02
    • US12044958
    • 2008-03-08
    • Sanjeev KaushalSukesh Janubhai PatelKenji Sugishima
    • Sanjeev KaushalSukesh Janubhai PatelKenji Sugishima
    • G06N3/12G06N5/04
    • G06N5/04G05B13/0265G06N5/02G06N99/005
    • An autonomous biologically based learning tool system and a method that the tool system employs for learning and analysis are provided. The autonomous biologically based learning tool system includes (a) one or more tool systems that perform a set of specific tasks or processes and generate assets and data related to the assets that characterize the various processes and associated tool performance; (b) an interaction manager that receives and formats the data, and (c) an autonomous learning system based on biological principles of learning. The autonomous learning system comprises a memory platform and a processing platform that communicate through a network. The network receives data from the tool system and from an external actor through the interaction manager. Both the memory platform and the processing platform include functional components and memories that can be defined recursively. Similarly, the one or more tools can be deployed recursively, in a bottom-up manner in which an individual autonomous tools is assembled in conjunction with other (disparate or alike) autonomous tools to form an autonomous group tool, which in turn can be assembled with other group tools to form a conglomerated autonomous tool system. Knowledge generated and accumulated in the autonomous learning system(s) associated with individual, group and conglomerated tools can be cast into semantic networks that can be employed for learning and driving tool goals based on context.
    • 提供了一种自主的基于生物学的学习工具系统和工具系统用于学习和分析的方法。 自主的基于生物学的学习工具系统包括(a)执行一组特定任务或过程的一个或多个工具系统,并生成与表征各种过程和相关工具性能的资产相关的资产和数据; (b)接收和格式化数据的交互管理器,(c)基于生物学习原理的自主学习系统。 自主学习系统包括通过网络进行通信的存储器平台和处理平台。 该网络通过交互管理器从工具系统和外部演员接收数据。 存储器平台和处理平台都包括可以递归定义的功能组件和存储器。 类似地,可以以自下而上的方式递归地部署一个或多个工具,其中单独的自主工具与其他(不同或相似)的自主工具结合组合以形成自主的组工具,其又可以被组装 与其他团体工具组成一个集团自主的工具系统。 在与个人,团体和集体工具相关的自主学习系统中生成和积累的知识可以被投入到可以用于基于上下文学习和驱动工具目标的语义网络中。
    • 10. 发明申请
    • OPTICAL MEASUREMENT SYSTEM WITH SYSTEMATIC ERROR CORRECTION
    • 具有系统误差校正的光学测量系统
    • US20090153842A1
    • 2009-06-18
    • US11956751
    • 2007-12-14
    • Sanjeev KaushalSairam SankaranarayananKenji Sugishima
    • Sanjeev KaushalSairam SankaranarayananKenji Sugishima
    • G01N21/00
    • G01N21/95607
    • An optical measurement system and wafer processing tool for correcting systematic errors in which a first diffraction spectrum is measured from a standard substrate including a layer having a known refractive index and a known extinction coefficient by exposing the standard substrate to a spectrum of electromagnetic energy. A tool-perfect diffraction spectrum is calculated for the standard substrate. A hardware systematic error is calculated by comparing the measured diffraction spectrum to the calculated tool-perfect diffraction spectrum. A second diffraction spectrum from a workpiece is measured by exposing the workpiece to the spectrum of electromagnetic energy, and the measured second diffraction spectrum is corrected based on the calculated hardware systematic error to obtain a corrected diffraction spectrum.
    • 一种用于校正系统误差的光学测量系统和晶片处理工具,其中通过将标准衬底暴露于电磁能谱,从包括具有已知折射率和已知消光系数的层的标准衬底测量第一衍射光谱。 计算标准底物的工具完美衍射光谱。 通过将测量的衍射光谱与计算的工具完美衍射光谱进行比较来计算硬件系统误差。 通过将工件暴露于电磁能的频谱来测量来自工件的第二衍射光谱,并且基于所计算的硬件系统误差来校正所测量的第二衍射光谱,以获得校正的衍射光谱。