Patents by Inventor Natalia Malkova

Natalia Malkova has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12049496
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Grant
    Filed: December 23, 2021
    Date of Patent: July 30, 2024
    Assignee: Sanofi
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Publication number: 20220195026
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Application
    Filed: December 23, 2021
    Publication date: June 23, 2022
    Applicant: SANOFI
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Patent number: 11242384
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Grant
    Filed: July 16, 2020
    Date of Patent: February 8, 2022
    Assignee: SANOFI
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Patent number: 11156548
    Abstract: A parameterized geometric model of a structure can be determined based on spectra from a wafer metrology tool. The structure can have geometry-induced anisotropic effects. Dispersion parameters of the structure can be determined from the parameterized geometric model. This can enable metrology techniques to measure nanostructures that have geometries and relative positions with surrounding structures that induce non-negligible anisotropic effects. These techniques can be used to characterize process steps involving metal and semiconductor targets in semiconductor manufacturing of, for example, FinFETs or and gate-all-around field-effect transistors.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: October 26, 2021
    Assignee: KLA-Tencor Corporation
    Inventors: Manh Nguyen, Phillip Atkins, Alexander Kuznetsov, Liequan Lee, Natalia Malkova, Paul Aoyagi, Mikhail Sushchik, Dawei Hu, Houssam Chouaib
  • Patent number: 11060982
    Abstract: Methods and systems for estimating values of parameters of interest from optical measurements of a sample early in a production flow based on a multidimensional optical dispersion (MDOD) model are presented herein. An MDOD model describes optical dispersion of materials comprising a structure under measurement in terms of parameters external to a base optical dispersion model. In some examples, a power law model describes the physical relationship between the external parameters and a parameter of the base optical dispersion model. In some embodiments, one or more external parameters are treated as unknown values that are resolved based on spectral measurement data. In some embodiments, one or more external parameters are treated as known values, and values of base optical dispersion model parameters, one or more external parameters having unknown values, or both, are resolved based on spectral measurement data and the known values of the one or more external parameters.
    Type: Grant
    Filed: March 11, 2020
    Date of Patent: July 13, 2021
    Assignee: KLA Corporation
    Inventors: Natalia Malkova, Mikhail Sushchik, Dawei Hu, Carlos L. Ygartua
  • Publication number: 20200399358
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Application
    Filed: July 16, 2020
    Publication date: December 24, 2020
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Publication number: 20200292467
    Abstract: Methods and systems for estimating values of parameters of interest from optical measurements of a sample early in a production flow based on a multidimensional optical dispersion (MDOD) model are presented herein. An MDOD model describes optical dispersion of materials comprising a structure under measurement in terms of parameters external to a base optical dispersion model. In some examples, a power law model describes the physical relationship between the external parameters and a parameter of the base optical dispersion model. In some embodiments, one or more external parameters are treated as unknown values that are resolved based on spectral measurement data. In some embodiments, one or more external parameters are treated as known values, and values of base optical dispersion model parameters, one or more external parameters having unknown values, or both, are resolved based on spectral measurement data and the known values of the one or more external parameters.
    Type: Application
    Filed: March 11, 2020
    Publication date: September 17, 2020
    Inventors: Natalia Malkova, Mikhail Sushchik, Dawei Hu, Carlos L. Ygartua
  • Patent number: 10766955
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: September 8, 2020
    Assignee: SANOFI
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Patent number: 10770362
    Abstract: Methods and systems for determining band structure characteristics of high-k dielectric films deposited over a substrate based on spectral response data are presented. High throughput spectrometers are utilized to quickly measure semiconductor wafers early in the manufacturing process. Optical models of semiconductor structures capable of accurate characterization of defects in high-K dielectric layers and embedded nanostructures are presented. In one example, the optical dispersion model includes a continuous Cody-Lorentz model having continuous first derivatives that is sensitive to a band gap of a layer of the unfinished, multi-layer semiconductor wafer. These models quickly and accurately represent experimental results in a physically meaningful manner. The model parameter values can be subsequently used to gain insight and control over a manufacturing process.
    Type: Grant
    Filed: August 1, 2019
    Date of Patent: September 8, 2020
    Assignee: KLA Corporation
    Inventors: Natalia Malkova, Leonid Poslavsky, Ming Di, Qiang Zhao, Dawei Hu
  • Patent number: 10429296
    Abstract: A metrology system includes a controller coupled to a detector to generate a detection signal based on the reflection of an illumination beam from a multilayer film stack. The multilayer film stack may include one or more zones with a repeating pattern of two or more materials. The controller may generate a model of reflection of the illumination beam by modeling the zones as thick films having zone thicknesses and effective permittivity values using an effective medium model relating the effective permittivity values of the zones to permittivity values and volume fractions of constituent materials. The controller may further determine values of the zone thicknesses and the volume fractions using a regression of the detection signal based on the effective medium model and further determine average thickness values of the constituent materials based on the number of films, the zone thicknesses, the volume fractions, and the effective permittivity values.
    Type: Grant
    Filed: July 20, 2018
    Date of Patent: October 1, 2019
    Assignee: KLA-Tencor Corporation
    Inventors: Mark A. Neil, Mikhail Sushchik, Natalia Malkova
  • Patent number: 10410935
    Abstract: Methods and systems for determining band structure characteristics of high-k dielectric films deposited over a substrate based on spectral response data are presented. High throughput spectrometers are utilized to quickly measure semiconductor wafers early in the manufacturing process. Optical models of semiconductor structures capable of accurate characterization of defects in high-K dielectric layers and embedded nanostructures are presented. In one example, the optical dispersion model includes a continuous Cody-Lorentz model having continuous first derivatives that is sensitive to a band gap of a layer of the unfinished, multi-layer semiconductor wafer. These models quickly and accurately represent experimental results in a physically meaningful manner. The model parameter values can be subsequently used to gain insight and control over a manufacturing process.
    Type: Grant
    Filed: February 9, 2017
    Date of Patent: September 10, 2019
    Assignee: KLA-Tencor Corporation
    Inventors: Natalia Malkova, Leonid Poslavsky, Ming Di, Qiang Zhao, Dawei Hu
  • Publication number: 20190178788
    Abstract: A parameterized geometric model of a structure can be determined based on spectra from a wafer metrology tool. The structure can have geometry-induced anisotropic effects. Dispersion parameters of the structure can be determined from the parameterized geometric model. This can enable metrology techniques to measure nanostructures that have geometries and relative positions with surrounding structures that induce non-negligible anisotropic effects. These techniques can be used to characterize process steps involving metal and semiconductor targets in semiconductor manufacturing of, for example, FinFETs or and gate-all-around field-effect transistors.
    Type: Application
    Filed: March 28, 2018
    Publication date: June 13, 2019
    Inventors: Manh Nguyen, Phillip Atkins, Alexander Kuznetsov, Liequan Lee, Natalia Malkova, Paul Aoyagi, Mikhail Sushchik, Dawei Hu, Houssam Chouaib
  • Publication number: 20190033211
    Abstract: A metrology system includes a controller coupled to a detector to generate a detection signal based on the reflection of an illumination beam from a multilayer film stack. The multilayer film stack may include one or more zones with a repeating pattern of two or more materials. The controller may generate a model of reflection of the illumination beam by modeling the zones as thick films having zone thicknesses and effective permittivity values using an effective medium model relating the effective permittivity values of the zones to permittivity values and volume fractions of constituent materials. The controller may further determine values of the zone thicknesses and the volume fractions using a regression of the detection signal based on the effective medium model and further determine average thickness values of the constituent materials based on the number of films, the zone thicknesses, the volume fractions, and the effective permittivity values.
    Type: Application
    Filed: July 20, 2018
    Publication date: January 31, 2019
    Inventors: Mark A. Neil, Mikhail Sushchik, Natalia Malkova
  • Publication number: 20180244763
    Abstract: The invention provides an improved pan-TGF-? antibody for treatment of conditions that are mediated by TGF-?, including autoimmune diseases, fibrotic conditions, and cancers. Also provided are methods and uses of the antibody in conjunction with other immunomodulatory agents such as an anti-PD-1 antibody.
    Type: Application
    Filed: January 19, 2018
    Publication date: August 30, 2018
    Applicant: SANOFI
    Inventors: Gary Shapiro, Kevin Brower, Patrick Finn, Richard C. Gregory, Rao Koduri, Feng Liu, Natalia Malkova, Parminder Mankoo, Jack R. Pollard, Huawei Qiu, Joachim Theilhaber, Christopher Winter, Marcella Yu
  • Patent number: 9664734
    Abstract: Methods and systems for monitoring band structure characteristics and predicting electrical characteristics of a sample early in a semiconductor manufacturing process flow are presented herein. High throughput spectrometers generate spectral response data from semiconductor wafers. In one example, the measured optical dispersion is characterized by a Gaussian oscillator, continuous Cody-Lorentz model. The measurement results are used to monitor band structure characteristics, including band gap and defects such as charge trapping centers, exciton states, and phonon modes in high-K dielectric layers and embedded nanostructures. The Gaussian oscillator, continuous Cody-Lorentz model can be generalized to include any number of defect levels. In addition, the shapes of absorption defect peaks may be represented by Lorentz functions, Gaussian functions, or both. These models quickly and accurately represent experimental results in a physically meaningful manner.
    Type: Grant
    Filed: May 19, 2016
    Date of Patent: May 30, 2017
    Assignee: KLA-Tencor Corporation
    Inventors: Natalia Malkova, Leonid Poslavsky
  • Patent number: 9595481
    Abstract: Methods and systems for determining band structure characteristics of high-k dielectric films deposited over a substrate based on spectral response data are presented. High throughput spectrometers are utilized to quickly measure semiconductor wafers early in the manufacturing process. Optical models of semiconductor structures capable of accurate characterization of defects in high-K dielectric layers and embedded nanostructures are presented. In one example, the optical dispersion model includes a continuous Cody-Lorentz model having continuous first derivatives that is sensitive to a band gap of a layer of the unfinished, multi-layer semiconductor wafer. These models quickly and accurately represent experimental results in a physically meaningful manner. The model parameter values can be subsequently used to gain insight and control over a manufacturing process.
    Type: Grant
    Filed: August 20, 2014
    Date of Patent: March 14, 2017
    Assignee: KLA-Tencor Corporation
    Inventors: Natalia Malkova, Leonid Poslavsky, Ming Di, Qiang Zhao, Dawei Hu
  • Publication number: 20160341792
    Abstract: Methods and systems for monitoring band structure characteristics and predicting electrical characteristics of a sample early in a semiconductor manufacturing process flow are presented herein. High throughput spectrometers generate spectral response data from semiconductor wafers. In one example, the measured optical dispersion is characterized by a Gaussian oscillator, continuous Cody-Lorentz model. The measurement results are used to monitor band structure characteristics, including band gap and defects such as charge trapping centers, exciton states, and phonon modes in high-K dielectric layers and embedded nanostructures. The Gaussian oscillator, continuous Cody-Lorentz model can be generalized to include any number of defect levels. In addition, the shapes of absorption defect peaks may be represented by Lorentz functions, Gaussian functions, or both. These models quickly and accurately represent experimental results in a physically meaningful manner.
    Type: Application
    Filed: May 19, 2016
    Publication date: November 24, 2016
    Inventors: Natalia Malkova, Leonid Poslavsky
  • Patent number: 9405290
    Abstract: Methods and systems for determining band structure characteristics of high-k dielectric films deposited over a substrate based on spectral response data are presented. High throughput spectrometers are utilized to quickly measure semiconductor wafers early in the manufacturing process. Optical models of semiconductor structures capable of accurate characterization of defects in high-K dielectric layers and embedded nanostructures are presented. In one example, the optical dispersion model includes a Cody-Lorentz model augmented by one or more oscillator functions sensitive to one or more defects of the unfinished, multi-layer semiconductor wafer. These models quickly and accurately represent experimental results in a physically meaningful manner. The model parameter values can be subsequently used to gain insight and control over a manufacturing process.
    Type: Grant
    Filed: January 15, 2014
    Date of Patent: August 2, 2016
    Assignee: KLA-Tencor Corporation
    Inventors: Natalia Malkova, Leonid Poslavsky