Abstract: Predictive multi-stage modelling for complex semiconductor device manufacturing process control is provided. In one aspect, a method of predictive multi-stage modelling for controlling a complex semiconductor device manufacturing process includes: collecting geometrical data from metrology measurements made at select stages of the manufacturing process; and making an outcome probability prediction at each of the select stages using a multiplicative kernel Gaussian process, wherein the outcome probability prediction is a function of a current stage and all prior stages. Machine-learning models can be trained for each of the select stages of the manufacturing process using the multiplicative kernel Gaussian process. The machine-learning models can be used to provide probabilistic predictions for a final outcome in real-time for production wafers. The probabilistic predictions can then be used to select production wafers for rework, sort, scrap or disposition.

Abstract: Techniques for secure and tamper-resistant wafer identification using a unique wafer fingerprint are provided. In one aspect, a method for wafer authentication includes: placing, at each level of fabrication of chips on the wafer, reference structures across the chips; inspecting the wafer at each level of the fabrication; and performing at least one of overlay and scatterometry measurements of the reference structures to use as a unique fingerprint for authenticating the wafer that has been inspected. A method for authentication throughout a process flow for fabrication of chips on a wafer is also provided, as is a wafer having chips and reference structures placed across the chips at each level of the chips to provide a unique fingerprint for authenticating the wafer.

Abstract: Techniques for semiconductor process flow disposition optimization using clamped Monte Carlo distribution are provided. In one aspect, a method for optimizing a semiconductor fabrication process includes: providing a model of the fabrication process; identifying sensitive parameters of the fabrication process using Monte Carlo simulations that sample sections of experimental parameter populations from the fabrication process as input to the model to determine parameters which impact an outcome of the Monte Carlo simulations, wherein the parameters which impact the outcome of the Monte Carlo simulations are the sensitive parameters; bounding the experimental parameter populations of the sensitive parameters to improve the outcome of the Monte Carlo simulations; and modifying the fabrication process based on the providing, identifying and bounding steps to improve an output of the fabrication process.

Abstract: Predictive multi-stage modelling for complex semiconductor device manufacturing process control is provided. In one aspect, a method of predictive multi-stage modelling for controlling a complex semiconductor device manufacturing process includes: collecting geometrical data from metrology measurements made at select stages of the manufacturing process; and making an outcome probability prediction at each of the select stages using a multiplicative kernel Gaussian process, wherein the outcome probability prediction is a function of a current stage and all prior stages. Machine-learning models can be trained for each of the select stages of the manufacturing process using the multiplicative kernel Gaussian process. The machine-learning models can be used to provide probabilistic predictions for a final outcome in real-time for production wafers. The probabilistic predictions can then be used to select production wafers for rework, sort, scrap or disposition.

Abstract: A method comprises: defining a set of rules for an inspection and detection of a defect in two or more electronic devices on a semiconductor chip, the set of rules being based on a modulation transfer function providing a response as contrast versus spatial frequency of the pattern spacings of the two or more electronic devices on the semiconductor chip; generating two or more care areas for two or more pattern spacings of the electronic devices on the semiconductor chip using a hierarchical set of spacing rules; and inspecting the two or more pattern spacings of the electronic devices on the semiconductor chip for defects.

Abstract: A method comprises: defining a set of rules for an inspection and detection of a defect in two or more electronic devices on a semiconductor chip, the set of rules being based on a modulation transfer function providing a response as contrast versus spatial frequency of the pattern spacings of the two or more electronic devices on the semiconductor chip; generating two or more care areas for two or more pattern spacings of the electronic devices on the semiconductor chip using a hierarchical set of spacing rules; and inspecting the two or more pattern spacings of the electronic devices on the semiconductor chip for defects.

Abstract: A method is disclosed to prepare a substrate for photolithography. The method includes forming an underlayer over a surface of the substrate; depositing an interface hardmask layer on the underlayer using one of a vapor phase deposition process or an atomic layer deposition process; and forming a layer of extreme UV (EUV) resist on the interface hardmask layer, where the interface hardmask layer is comprised of material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer. Also disclosed is a structure configured for photolithography. The structure includes a substrate; an underlayer over a surface of the substrate; an interface hardmask layer disposed on the underlayer; and a layer of EUV resist disposed on the interface hardmask layer. The interface hardmask layer contains material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer.

Abstract: A method is disclosed to prepare a substrate for photolithography. The method includes forming an underlayer over a surface of the substrate; depositing an interface hardmask layer on the underlayer using one of a vapor phase deposition process or an atomic layer deposition process; and forming a layer of extreme UV (EUV) resist on the interface hardmask layer, where the interface hardmask layer is comprised of material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer. Also disclosed is a structure configured for photolithography. The structure includes a substrate; an underlayer over a surface of the substrate; an interface hardmask layer disposed on the underlayer; and a layer of EUV resist disposed on the interface hardmask layer. The interface hardmask layer contains material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer.

Abstract: A method is disclosed to prepare a substrate for photolithography. The method includes forming an underlayer over a surface of the substrate; depositing an interface hardmask layer on the underlayer using one of a vapor phase deposition process or an atomic layer deposition process; and forming a layer of extreme UV (EUV) resist on the interface hardmask layer, where the interface hardmask layer is comprised of material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer. Also disclosed is a structure configured for photolithography. The structure includes a substrate; an underlayer over a surface of the substrate; an interface hardmask layer disposed on the underlayer; and a layer of EUV resist disposed on the interface hardmask layer. The interface hardmask layer contains material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer.

Abstract: A method is disclosed to prepare a substrate for photolithography. The method includes forming an underlayer over a surface of the substrate; depositing an interface hardmask layer on the underlayer using one of a vapor phase deposition process or an atomic layer deposition process; and forming a layer of extreme UV (EUV) resist on the interface hardmask layer, where the interface hardmask layer is comprised of material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer. Also disclosed is a structure configured for photolithography. The structure includes a substrate; an underlayer over a surface of the substrate; an interface hardmask layer disposed on the underlayer; and a layer of EUV resist disposed on the interface hardmask layer. The interface hardmask layer contains material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer.

Abstract: A method is disclosed to prepare a substrate for photolithography. The method includes forming an underlayer over a surface of the substrate; depositing an interface hardmask layer on the underlayer using one of a vapor phase deposition process or an atomic layer deposition process; and forming a layer of extreme UV (EUV) resist on the interface hardmask layer, where the interface hardmask layer is comprised of material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer. Also disclosed is a structure configured for photolithography. The structure includes a substrate; an underlayer over a surface of the substrate; an interface hardmask layer disposed on the underlayer; and a layer of EUV resist disposed on the interface hardmask layer. The interface hardmask layer contains material having a composition and properties tuned to achieve a certain secondary electron yield from the interface hardmask layer.

Abstract: A lithographic structure consisting essentially of: an organic antireflective material disposed on a substrate; a vapor-deposited RCHX material, wherein R is one or more elements selected from the group consisting of Si, Ge, B, Sn, Fe and Ti, and wherein X is not present or is one or more elements selected from the group consisting of O, N, S and F; and a photoresist material disposed on the RCHX material. The invention is also directed to methods of making the lithographic structure, and using the structure to pattern a substrate.

Abstract: A lithographic structure comprising: an organic antireflective material disposed on a substrate; and a silicon antireflective material disposed on the organic antireflective material. The silicon antireflective material comprises a crosslinked polymer with a SiOx backbone, a chromophore, and a transparent organic group that is substantially transparent to 193 nm or 157 nm radiation. In combination, the organic antireflective material and the silicon antireflective material provide an antireflective material suitable for deep ultraviolet lithography. The invention is also directed to a process of making the lithographic structure.

Abstract: Disclosed is a method of selectively etching nitride in a chemical downstream etching process. The invention begins by placing a wafer having oxide regions and nitride regions in a chamber. Then, the invention performs a chemical downstream etching process using CH2F2 to etch and convert the nitride regions into surface mediated uniform reactive film (SMURF) regions comprising (NH4)2SiF6. This process then rinses the surface of the wafer with water to remove the surface mediated uniform reactive film regions from the wafer, leaving the oxide regions substantially unaffected. The chemical downstream etching process is considered selective because it etches the nitride regions at a higher rate than the oxide regions.

Abstract: A method is provided for preparing a substrate for photolithographic patterning. The method includes providing a substrate having at least an exposed rough surface layer including a polymeric material. The rough surface layer has surface features characterized by feature step height varying between about two percent and twenty percent of the minimum photolithographic half-pitch. A layer of photoresist material is then provided over the exposed rough surface layer and patterned.

Abstract: Methods for generating a nanostructure and for enhancing etch selectivity, and a nanostructure are disclosed. The invention implements a tunable etch-resistant anti-reflective (TERA) material integration scheme which gives high etch selectivity for both etching pattern transfer through the TERA layer (used as an ARC and/or hardmask) with etch selectivity to the patterned photoresist, and etching to pattern transfer through a dielectric layer of nitride. This is accomplished by oxidizing a TERA layer after etching pattern transfer through the TERA layer to form an oxidized TERA layer having chemical properties similar to oxide. The methods provide all of the advantages of the TERA material and allows for high etch selectivity (approximately 5-10:1) for etching to pattern transfer through nitride. In addition, the methodology reduces LER and allows for trimming despite reduced photoresist thickness.

Abstract: A Top Oxide Method is used to form an oxide layer over an array of vertical transistors as in a trench dynamic random access memory (DRAM) array with vertically stacked access metal oxide semiconductor field effect transistors (MOSFETs). The Top Oxide is formed by first forming the vertical devices with the pad nitride remaining in place. Once the devices have been formed and the gate polysilicon has been planarized down to the surface of the pad nitride, the pad nitride is stripped away leaving the tops of the gate polysilicon plugs extending above the active silicon surface. This pattern of polysilicon plugs defines the pattern over which the Top Oxide is deposited. The deposited Top Oxide fills the regions between and on top of the polysilicon plugs. The Top Oxide is then planarized back to the tops of the polysilicon plugs so contacts can be made between the passing interconnects and the gates of the vertical devices.

Abstract: A Top Oxide Method is used to form an oxide layer over an array of vertical transistors as in a trench dynamic random access memory (DRAM) array with vertically stacked access metal oxide semiconductor field effect transistors (MOSFETs). The Top Oxide is formed by first forming the vertical devices with the pad nitride remaining in place. Once the devices have been formed and the gate polysilicon has been planarized down to the surface of the pad nitride, the pad nitride is stripped away leaving the tops of the gate polysilicon plugs extending above the active silicon surface. This pattern of polysilicon plugs defines the pattern over which the Top Oxide is deposited. The deposited Top Oxide fills the regions between and on top of the polysilicon plugs. The Top Oxide is than planarized back to the tops of the polysilicon plugs so contacts can be made between the passing interconnects and the gates of the vertical devices.

Abstract: The present provides a method for tailoring silicon dioxide source and drain implants and, if desired, extension implants of different devices used on a semiconductor wafer in order to realize shallow junctions and minimize the region of overlap between the gate and source and drain regions and any extension implants. The method includes the steps of applying a mask over a first gate structure positioned on a semiconductor substrate, depositing a layer of a spacer material over the surface of the first gate structure and a second gate structure adjacent to the first gate structure, etching the spacer material so that a portion of the spacer material remains on the second gate sidewalls and a sidewall of the block out mask, implanting ions into the semiconductor substrate into a region defined between the spacer material on the block out mask and the second gate to form a source or drain region, and removing the spacer material and block out mask.

Abstract: A memory device structure is provided in which the array oxide layer has a thickness that is greater than the thickness of the support oxide layer.