Nova Ltd.

A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scatterometric training data measured after implementation of the process step, and receiving a set of process control knob training data indicative of process control knob settings applied during implementation of the process step; and generating a machine learning model correlating variations in the pre-process sets of scatterometric training data and the corresponding process control knob training data with the corresponding post-process sets of scatterometric training data, to train the machine learning model to recommend changes to process control knob settings to compensate for variations in the pre-process scatterometric data.

A method and system are presented for use in measuring one or more characteristics of patterned structures. The method comprises: performing measurements on a patterned structure by illuminating the structure with exciting light to cause Raman scattering of one or more excited regions of the pattern structure, while applying a controlled change of at least temperature condition of the patterned structure, and detecting the Raman scattering, and generating corresponding measured data indicative of a temperature dependence of the detected Raman scattering; and analyzing the measured data and generating data indicative of spatial profile of one or more properties of the patterned structure.

A polarized Raman Spectrometric system for defining parameters of a polycrystalline material, the system comprises a polarized Raman Spectrometric apparatus, a computer-controlled sample stage for positioning a sample at different locations, and a computer comprising a processor and an associated memory. The polarized Raman Spectrometric apparatus generates signal(s) from either small sized spots at multiple locations on a sample or from an elongated line-shaped points on the sample, and the processor analyzes the signal(s) to define the parameters of said polycrystalline material.

A method for use in measuring one or more characteristics of patterned structures, the method including providing measured data comprising data indicative of at least one Raman spectrum obtained from a patterned structure under measurements using at least one selected optical measurement scheme each with a predetermined configuration of at least one of illuminating and collected light conditions corresponding to the one or more characteristics to be measured, processing the measured data, and determining, for each of the at least one Raman spectrum, a distribution of Raman-contribution efficiency (RCE) within at least a part of the structure under measurements, being dependent on characteristics of the structure and the predetermined configuration of the at least one of illuminating and collected light conditions in the respective optical measurement scheme, and analyzing the distribution of Raman-contribution efficiency and determining the one or more characteristics of the structure.

A method for semiconductor device metrology. The method may include creating a time-domain representation of wavelength-domain measurement data of light reflected by a three dimensional (3D) patterned structure of a semiconductor device; selecting one or more relevant peaks of the time-domain representation and at least one irrelevant portion of the time-domain representation. One or more relevant peaks occur during one or more relevant time periods; and are associated with corresponding relevant reference peaks that are associated with different versions of a reference 3D patterned structure.

A measurement system for use in optical metrology, the measurement system which includes a control system configured and operable to carry out the following: (i) receive raw measured data generated by a measurement unit that is configured and operable for performing normal-incidence spectral interferometric measurements on a sample and generating the raw measured data indicative of spectral interferometric signals measured on the sample for a number of different optical path differences (OPDs) between sample and reference arms using infrared wavelengths; (ii) extract, from the raw measured data, a portion of spectral interferometric signals describing variation of signal intensity with a change of an optical path difference OPD during interferometric measurements, said portion of the spectral interferometric signals being independent of interferometric signals returned from a bottom portion of the sample in response to said illuminating electromagnetic field; and (iii) directly determine, from the extracted portion of the spectral interferometric signals, both spectral amplitude and phase of reflection of the illuminating electromagnetic field from the top portion of the sample, thereby enabling to determine a measured spectral signature characterizing the top portion of the sample.

Controlling semiconductor device manufacture by acquiring training scatterometric signatures collected at training locations on training semiconductor wafers and corresponding to locations within a predefined design of a training semiconductor device, the training signatures collected after predefined processing steps during manufacture of the device on the training wafers, acquiring manufacturing outcome data associated with the training locations, training a prediction model using the training signatures and the manufacturing outcome data, and applying the prediction model to a candidate scatterometric signature to predict a manufacturing outcome, the candidate signature collected at a candidate location on a candidate semiconductor wafer, the candidate location corresponding to a location within the same predefined design of a candidate semiconductor device, the candidate signature collected after any of the processing steps during manufacture of the candidate device on the candidate wafer.

A system, comprising a device including a circuit configured to produce a phase shift in a reflected signal, wherein a plurality of phase bits, which may be either switchable or static, are situated in parallel relative to one another within the device, wherein each switchable phase bit operates on a fraction of incident signal power, and wherein reflections from all parallel bits are recombined into a single signal reflected from the phase shifting device.

A system and methods for OCD metrology are provided including receiving training data for training an OCD machine learning (ML) model, including multiple pairs of corresponding sets of scatterometric data and reference parameters. For each of the pairs, one or more corresponding outlier metrics are by calculated and corresponding outlier thresholds are applied whether a given pair is an outlier pair. The OCD MIL model is then trained with the training data less the outlier pairs.

A method and system are presented for use in measuring characteristic(s) of patterned structures. The method utilizes processing of first and second measured data, wherein the first measured data is indicative of at least one Raman spectrum obtained from a patterned structure under measurements using at least one selected optical measurement scheme each with a predetermined configuration of illuminating and/or collected light conditions corresponding to the characteristic(s) to be measured, and the second measured data comprises at least one spectrum obtained from the patterned structure in Optical Critical Dimension (OCD) measurement session. The processing comprises applying model-based analysis to the at least one Raman spectrum and the at least one OCD spectrum, and determining the characteristic(s) of the patterned structure under measurements.