Abstract: A processing chamber including multiple plasma sources in a process chamber top. Each one of the plasma sources is a ring plasma source including a primary winding and multiple ferrites. A plasma processing system is also described. A method of plasma processing is also described.

Abstract: Vacuum-integrated photoresist-less methods and apparatuses for forming metal hardmasks can provide sub-30 nm patterning resolution. A metal-containing (e.g., metal salt or organometallic compound) film that is sensitive to a patterning agent is deposited on a semiconductor substrate. The metal-containing film is then patterned directly (i.e., without the use of a photoresist) by exposure to the patterning agent in a vacuum ambient to form the metal mask. For example, the metal-containing film is photosensitive and the patterning is conducted using sub-30 nm wavelength optical lithography, such as EUV lithography.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: Disclosed are methods of generating a proximity-corrected design layout for photoresist to be used in an etch operation. The methods may include identifying a feature in an initial design layout, and estimating one or more quantities characteristic of an in-feature plasma flux (IFPF) within the feature during the etch operation. The methods may further include estimating a quantity characteristic of an edge placement error (EPE) of the feature by comparing the one or more quantities characteristic of the IFPF to those in a look-up table (LUT, and/or through application of a multivariate model trained on the LUT, e.g., constructed through machine learning methods (MLM)) which associates values of the quantity characteristic of EPE with values of the one or more quantities characteristics of the IFPF. Thereafter, the initial design layout may be modified based on at the determined quantity characteristic of EPE.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: A semiconductor substrate processing system includes a chamber that includes a processing region and a substrate support. The system includes a top plate assembly disposed within the chamber above the substrate support. The top plate assembly includes first and second sets of plasma microchambers each formed into the lower surface of the top plate assembly. A first network of gas supply channels are formed through the top plate assembly to flow a first process gas to the first set of plasma microchambers to be transformed into a first plasma. A set of exhaust channels are formed through the top plate assembly. The second set of plasma microchambers are formed inside the set of exhaust channels. A second network of gas supply channels are formed through the top plate assembly to flow a second process gas to the second set of plasma microchambers to be transformed into a second plasma.

Abstract: A chamber top for a processing chamber is provided. The chamber top includes a first plasma source oriented horizontally over the chamber top and a second plasma source oriented horizontally over the chamber top. The second plasma source is arranged concentrically around the first plasma source. Also included is a first plurality of ferrites encircling the first plasma source and a second plurality of ferrites encircling the second plasma source. A first primary winding is disposed around an outer circumference of the first plasma source and a second primary winding disposed around an outer circumference of the second plasma source. The first and second primary windings pass through the respective plurality of ferrites. A plurality of outlets is disposed on a lower portion of the first and second plasma sources, and the plurality of outlets is oriented between adjacent ones of the first and second plurality of ferrites.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: A plasma processing method is provided. The method includes receiving a substrate in a substrate support that is configured to be movable along a linear path. The method includes providing at least one process gas into a plasma microchamber. The plasma microchamber is disposed in a processing head having a length that is at least longer than a diameter of the substrate, and said length is perpendicular to said linear path. The method includes generating a plasma in the plasma microchamber by applying power to the plasma microchamber and applying a bias power to the substrate support. The plasma microchamber has an open side process area that is oriented and directed over a surface to be processed, and the open side process area is less than an area of the surface to be processed. The method includes translating said substrate support along said linear path while said microchamber generates the plasma in the plasma microchamber for exposing said plasma over the substrate.

Abstract: A processing chamber including multiple plasma sources in a process chamber top. Each one of the plasma sources is a ring plasma source including a primary winding and multiple ferrites. A plasma processing system is also described. A method of plasma processing is also described.

Abstract: A semiconductor substrate processing system includes a chamber that includes a processing region and a substrate support. The system includes a top plate assembly disposed within the chamber above the substrate support. The top plate assembly includes first and second sets of plasma microchambers each formed into the lower surface of the top plate assembly. A first network of gas supply channels are formed through the top plate assembly to flow a first process gas to the first set of plasma microchambers to be transformed into a first plasma. A set of exhaust channels are formed through the top plate assembly. The second set of plasma microchambers are formed inside the set of exhaust channels. A second network of gas supply channels are formed through the top plate assembly to flow a second process gas to the second set of plasma microchambers to be transformed into a second plasma.

Abstract: A plasma deposition chamber is disclosed. A substrate support for supporting a surface to be processed is in the chamber. A processing head including an array of plasma microchambers is also in the chamber. Each of the plasma microchambers includes an open side disposed over at least a first portion of the surface to be processed. The open side has an area less than an entire area of the surface to be processed. A process gas source is coupled to the chamber to provide a process gas the array of plasma microchambers. A radio frequency power supply is connected to at least one electrode of the processing head. The array of plasma microchambers is configured to generate a plasma using the process gas to deposit a layer over the at least first portion of the surface to be processed. A method for performing a plasma deposition is also disclosed.

Abstract: Vacuum-integrated photoresist-less methods and apparatuses for forming metal hardmasks can provide sub-30 nm patterning resolution. A metal-containing (e.g., metal salt or organometallic compound) film that is sensitive to a patterning agent is deposited on a semiconductor substrate. The metal-containing film is then patterned directly (i.e., without the use of a photoresist) by exposure to the patterning agent in a vacuum ambient to form the metal mask. For example, the metal-containing film is photosensitive and the patterning is conducted using sub-30 nm wavelength optical lithography, such as EUV lithography.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: Disclosed are methods of generating a proximity-corrected design layout for photoresist to be used in an etch operation. The methods may include identifying a feature in an initial design layout, and estimating one or more quantities characteristic of an in-feature plasma flux (IFPF) within the feature during the etch operation. The methods may further include estimating a quantity characteristic of an edge placement error (EPE) of the feature by comparing the one or more quantities characteristic of the IFPF to those in a look-up table (LUT, and/or through application of a multivariate model trained on the LUT, e.g., constructed through machine learning methods (MLM)) which associates values of the quantity characteristic of EPE with values of the one or more quantities characteristics of the IFPF. Thereafter, the initial design layout may be modified based on at the determined quantity characteristic of EPE.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: Vacuum-integrated photoresist-less methods and apparatuses for forming metal hardmasks can provide sub-30 nm patterning resolution. A metal-containing (e.g., metal salt or organometallic compound) film that is sensitive to a patterning agent is deposited on a semiconductor substrate. The metal-containing film is then patterned directly (i.e., without the use of a photoresist) by exposure to the patterning agent in a vacuum ambient to form the metal mask. For example, the metal-containing film is photosensitive and the patterning is conducted using sub-30 nm wavelength optical lithography, such as EUV lithography.

Abstract: Disclosed are methods of optimizing a computer model which relates the etch profile of a feature on a semiconductor substrate to a set of independent input parameters (A), via the use of a plurality of model parameters (B). In some embodiments, the methods may include modifying one or more values of B so as to reduce a metric indicative of the differences between computed reflectance spectra generated from the model and corresponding experimental reflectance spectra with respect to one or more sets of values of A. In some embodiments, calculating the metric may include an operation of projecting the computed and corresponding experimental reflectance spectra onto a reduced-dimensional subspace and calculating the difference between the reflectance spectra as projected onto the subspace. Also disclosed are etch systems implementing such optimized computer models.

Abstract: Disclosed are methods of optimizing a computerized model which relates etched feature profile on a semiconductor device to a set of independent input parameters via the use of a plurality of model parameters. The optimization methods may include modifying the model parameters so that an etch profile generated with the model is such that it reduces a metric indicative of the combined differences between experimental etch profiles resulting from experimental etch processes performed using different sets of values for sets of independent input parameters and computed etch profiles generated from the model and corresponding to the experimental etch profiles. Said metric may be calculated by projecting computed and corresponding experimental etch profiles onto a reduced-dimensional subspace used to calculate a difference between the profiles. Also disclosed herein are systems employing such optimized models, as well as methods of using such models to approximately determine the profile of an etched feature.

Abstract: A plasma source includes a ring plasma chamber, a primary winding around an exterior of the ring plasma chamber, multiple ferrites, wherein the ring plasma chamber passes through each of the ferrites and multiple plasma chamber outlets coupling the plasma chamber to a process chamber. Each one of the plasma chamber outlets having a respective plasma restriction. A system and method for generating a plasma are also described.