摘要:
A global node optimization (GNO) technique can generate a model for a planar multiple layer film stack structure, e.g. a binary grating structure. In this technique, after obtaining spectra and target thicknesses from one or more wafers, a continuous film approximation (CFA) and a grating factor (GF) set are identified. A model using the CFA and the GF set is optimized by simultaneously fitting a plurality of the spectra while minimizing error compared to the target thicknesses. After simultaneously fitting all of the spectra, a GNO stack is created. A GNO recipe is then created using the GNO stack. Notably, a tool implementing the GNO technique uses minimal modeling capabilities and computational resources.
摘要:
An optical metrology system includes model approximation logic for generating an optical model based on experimental data. By eliminating theoretical model generation, in which the fundamental equations of a test sample must be solved, the model approximation logic significantly reduces the computational requirements of the metrology system when measuring films formed on patterned base layers. The experimental model can be created by selecting an expected mathematical form for the final model, gathering experimental data, and compiling a lookup model. The lookup model can include the actual measurement data sorted by output (attribute) value, or can include “grating factors” that represent compensation factors that, when applied to standard monolithic model equations, compensate for the optical effects of grating layers.
摘要:
A method and device for facilitating measurement of thermo-optically induced material phase change response in a thin planar or a grating film stack is disclosed. The method may include using small-spot visible and ultraviolet spectra (ellipsometric or reflectance) for measuring a material phase change response. The device may include a measurement system platform, at least one electrical resistor, at least one external electric probe, and ohmic contact circuitry.
摘要:
A method for determining chemical composition from optical properties of a stack formed with a process, by preparing test samples of the stack using known and intentional variations to the process to affect a variation in the chemical composition, measuring the optical properties of the test samples, measuring the chemical composition of the test samples, performing a processor-based regression analysis to determine an optical state function including correlations between the optical properties of the test samples and the chemical composition of the test samples, fabricating production samples of the stack using the process, measuring the optical properties of the production samples, and estimating the chemical composition of the production samples using the optical state function.
摘要:
A method for determining chemical composition from optical properties of a stack formed with a process, by preparing test samples of the stack using known and intentional variations to the process to affect a variation in the chemical composition, measuring the optical properties of the test samples, measuring the chemical composition of the test samples, performing a processor-based regression analysis to determine an optical state function including correlations between the optical properties of the test samples and the chemical composition of the test samples, fabricating production samples of the stack using the process, measuring the optical properties of the production samples, and estimating the chemical composition of the production samples using the optical state function.
摘要:
A method and device for facilitating measurement of thermo-optically induced material phase change response in a thin planar or a grating film stack is disclosed. The method may include using small-spot visible and ultraviolet spectra (ellipsometric or reflectance) for measuring a material phase change response. The device may include a measurement system platform, at least one electrical resistor, at least one external electric probe, and ohmic contact circuitry.