Abstract: Process control during manufacture of semiconductor devices by collecting scatterometric spectra of a FinFET reference fin structure on a reference semiconductor wafer at a first checkpoint proximate to a first processing step during fabrication of the reference semiconductor wafer, collecting reference measurements of the reference fin structure at a second checkpoint proximate to a second processing step subsequent to the first checkpoint, and performing machine learning to identify correspondence between the scatterometric spectra and values based on the reference measurements and train a prediction model for producing a prediction value associated with a corresponding production fin structure of the FinFET on a production semiconductor wafer based on scatterometric spectra of the production fin structure collected at the corresponding first checkpoint during fabrication of the production semiconductor wafer.

Abstract: Measuring SRAM structures having FinFET transistors by obtaining, on a production semiconductor wafer, spectra of a SRAM production structure including FinFET fins and gates, identifying SRAM reference structure spectra corresponding to the spectra, the reference structure from measuring, on a reference semiconductor wafer, a reference structure including a layout of FinFET fins having gates, injecting, into an OCD model of the production structure, fin target parameter values, corresponding to the identified reference structure spectra, from measuring, on the reference wafer, a fin target including a layout of exposed FinFET fins lacking gates similar or identical to the reference structure layout, correspondence between the fin target parameter values and the reference structure spectra previously identified by ML, and determining measurement values for the FinFET gates of the production structure by fitting reference spectra associated with the production structure in the OCD model to the production struct

Abstract: Measuring SRAM structures having FinFET transistors by obtaining, on a production semiconductor wafer, spectra of a SRAM production structure including FinFET fins and gates, identifying SRAM reference structure spectra corresponding to the spectra, the reference structure from measuring, on a reference semiconductor wafer, a reference structure including a layout of FinFET fins having gates, injecting, into an OCD model of the production structure, fin target parameter values, corresponding to the identified reference structure spectra, from measuring, on the reference wafer, a fin target including a layout of exposed FinFET fins lacking gates similar or identical to the reference structure layout, correspondence between the fin target parameter values and the reference structure spectra previously identified by ML, and determining measurement values for the FinFET gates of the production structure by fitting reference spectra associated with the production structure in the OCD model to the production struct

Abstract: A measurement method and system are presented for in-line measurements of one or more parameters of thin films in structures progressing on a production line. First measured data and second measured data are provided from multiple measurements sites on the thin film being measured, wherein the first measured data corresponds to first type measurements from a first selected set of a relatively small number of the measurement sites, and the second measured data corresponds to second type optical measurements from a second set of significantly higher number of the measurements sites. The first measured data is processed for determining at least one value of at least one parameter of the thin film in each of the measurement sites of said first set. Such at least one parameter value is utilized for interpreting the second measured data, thereby obtaining data indicative of distribution of values of said at least one parameter within said second set of measurement sites.

Abstract: A measurement method and system are presented for in-line measurements of one or more parameters of thin films in structures progressing on a production line. First measured data and second measured data are provided from multiple measurements sites on the thin film being measured, wherein the first measured data corresponds to first type measurements from a first selected set of a relatively small number of the measurement sites, and the second measured data corresponds to second type optical measurements from a second set of significantly higher number of the measurements sites. The first measured data is processed for determining at least one value of at least one parameter of the thin film in each of the measurement sites of said first set. Such at least one parameter value is utilized for interpreting the second measured data, thereby obtaining data indicative of distribution of values of said at least one parameter within said second set of measurement sites.