Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for performing key parameter identification, process model calibration and variability analysis is discussed.

Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for performing key parameter identification, process model calibration and variability analysis is discussed.

Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for determining specification limits using a fitting algorithm for non-normally distributed virtual metrology data is discussed.

Abstract: Computer implemented methods and computer program products have instructions for generating transfer functions that relate segments on lithography photomasks to features produced by photolithography and etching using such segments. Such methods may be characterized by the following elements: (a) receiving after development inspection metrology results produced from one or more first test substrates on which resist was applied and patterned using a set of design layout segments; (b) receiving after etch inspection metrology results produced from one or more second test substrates which were etched after resist was applied and patterned using said set of design layout segments; and (c) generating the transfer function using the set of design layout segments together with corresponding after development inspection metrology results and corresponding after etch inspection metrology results.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology measurement data from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.

Abstract: Computer implemented methods and computer program products have instructions for generating transfer functions that relate segments on lithography photomasks to features produced by photolithography and etching using such segments. Such methods may be characterized by the following elements: (a) receiving after development inspection metrology results produced from one or more first test substrates on which resist was applied and patterned using a set of design layout segments; (b) receiving after etch inspection metrology results produced from one or more second test substrates which were etched after resist was applied and patterned using said set of design layout segments; and (c) generating the transfer function using the set of design layout segments together with corresponding after development inspection metrology results and corresponding after etch inspection metrology results.

Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for performing key parameter identification, process model calibration and variability analysis is discussed.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology measurement data from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.

Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for performing key parameter identification, process model calibration and variability analysis is discussed.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology data generated from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology data generated from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.

Abstract: Computer implemented methods and computer program products have instructions for generating transfer functions that relate segments on lithography photomasks to features produced by photolithography and etching using such segments. Such methods may be characterized by the following elements: (a) receiving after development inspection metrology results produced from one or more first test substrates on which resist was applied and patterned using a set of design layout segments; (b) receiving after etch inspection metrology results produced from one or more second test substrates which were etched after resist was applied and patterned using said set of design layout segments; and (c) generating the transfer function using the set of design layout segments together with corresponding after development inspection metrology results and corresponding after etch inspection metrology results.

Abstract: Provided herein are systems and methods for optimizing feature fill processes. The feature fill optimization systems and methods may be used to optimize feature fill from a small number of patterned wafer tests. The systems and methods may be used for optimizing enhanced feature fill processes including those that include inhibition and/or etch operations along with deposition operations. Results from experiments may be used to calibrate a feature scale behavioral model. Once calibrated, parameter space may be iteratively explored to optimize the process.

Abstract: A virtual fabrication environment for semiconductor device fabrication that determines a lowest lithography exposure dose range in which one or more defects are still reparable by deposition and etch operations is discussed. Further techniques for repairing line edge roughness caused by lithography are described.

Abstract: A virtual fabrication environment for semiconductor device fabrication that includes an analytics module for performing process window optimization is discussed.

Abstract: Modeling of electrical behavior during the virtual fabrication of a semiconductor device structure is discussed. Electrical behavior occurring in a designated region of a semiconductor device structure may be determined during the virtual fabrication process. For example, resistance or capacitance values may be determined within a modeling domain of interest.

Abstract: Provided herein are systems and methods for optimizing feature fill processes. The feature fill optimization systems and methods may be used to optimize feature fill from a small number of patterned wafer tests. The systems and methods may be used for optimizing enhanced feature fill processes including those that include inhibition and/or etch operations along with deposition operations. Results from experiments may be used to calibrate a feature scale behavioral model. Once calibrated, parameter space may be iteratively explored to optimize the process.

Abstract: A virtual fabrication environment for semiconductor device fabrication that determines a lowest lithography exposure dose range in which one or more defects are still reparable by deposition and etch operations is discussed. Further techniques for repairing line edge roughness caused by lithography are described.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology data generated from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.

Abstract: A virtual fabrication environment for semiconductor device structures that includes the use of virtual metrology measurement data to optimize a virtual fabrication sequence is described. Further, calibration of the virtual fabrication environment is performed by comparing virtual metrology data generated from a virtual fabrication run with a subset of measurements performed in a physical fabrication environment. Additionally, virtual experiments conducted in the virtual fabrication environment of the present invention generate multiple device structure models using ranges of process and design parameter variations for an integrated process flow and design space of interest.