Patents by Inventor Megan BECK

Megan BECK 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).

  • Publication number: 20240072145
    Abstract: Gate-all-around integrated circuit structures having pre-spacer-deposition cut gates are described. For example, an integrated circuit structure includes a first vertical arrangement of horizontal nanowires and a second vertical arrangement of horizontal nanowires. A first gate stack is over the first vertical arrangement of horizontal nanowires, and a second gate stack is over the second vertical arrangement of horizontal nanowires. An end of the second gate stack is spaced apart from an end of the first gate stack by a gap. The integrated circuit structure also includes a dielectric structure having a first portion providing a gate spacer along sidewalls of the first gate stack, a second portion providing a gate spacer along sidewalls of the second gate stack, and a third portion filling the gap, the third portion contiguous with the first and second portions.
    Type: Application
    Filed: August 23, 2022
    Publication date: February 29, 2024
    Inventors: Megan BECK, Joseph BRICE, Ryan WOOD, Krishna T. MARLA, Derek CASELLI
  • Patent number: 11276007
    Abstract: To clear a blindspot in the way business leaders, analysts and investors make decisions about capital investments in various businesses, the present inventors devised, among other things, business model classification, search, and analysis systems and methods. One exemplary system automatically classifies businesses based on quantitative and qualitative business data according to a 4-class framework that spans traditional industry boundaries. This classification is based on a combination of spending patterns, financial metrics, and language to identify each firm's business model. The resulting business model is then utilized in conjunction with additional financial and non-financial metrics, securities analysis, leading and lagging indicators, and/or industry comparison to produce a score which can be used to compare business performance within and across classifications to generate superior performance and mitigate risks for business leaders and investment managers.
    Type: Grant
    Filed: February 25, 2020
    Date of Patent: March 15, 2022
    Assignee: AIMATTERS, INC.
    Inventors: Barry D. Libert, Megan Beck
  • Publication number: 20200193312
    Abstract: To clear a blindspot in the way business leaders, analysts and investors make decisions about capital investments in various businesses, the present inventors devised, among other things, business model classification, search, and analysis systems and methods. One exemplary system automatically classifies businesses based on quantitative and qualitative business data according to a 4-class framework that spans traditional industry boundaries. This classification is based on a combination of spending patterns, financial metrics, and language to identify each firm's business model. The resulting business model is then utilized in conjunction with additional financial and non-financial metrics, securities analysis, leading and lagging indicators, and/or industry comparison to produce a score which can be used to compare business performance within and across classifications to generate superior performance and mitigate risks for business leaders and investment managers.
    Type: Application
    Filed: February 25, 2020
    Publication date: June 18, 2020
    Inventors: Barry D. Libert, Megan Beck
  • Patent number: 10614363
    Abstract: To clear a blindspot in the way business leaders, analysts and investors make decisions about capital investments in various businesses, the present inventors devised, among other things, a machine learning based composite classification, search, and analysis systems and methods. One exemplary system automatically classifies businesses based on quantitative and qualitative business data according to a 4-class framework that spans traditional industry boundaries. This classification are based on a combination of spending patterns, financial metrics, and language to identify each firm's business model. The resulting business model is then utilized in conjunction with additional financial and non-financial metrics, securities analysis, leading and lagging indicators, and/or industry comparison to produce a score which can be used to compare business performance within and across classifications to generate superior performance and mitigate risks for business leaders and investment managers.
    Type: Grant
    Filed: April 11, 2017
    Date of Patent: April 7, 2020
    Assignee: OPENMATTERS, INC.
    Inventors: Barry D. Libert, Megan Beck
  • Publication number: 20180114128
    Abstract: To clear a blindspot in the way business leaders, analysts and investors make decisions about capital investments in various businesses, the present inventors devised, among other things, a machine learning based composite classification, search, and analysis systems and methods. One exemplary system automatically classifies businesses based on quantitative and qualitative business data according to a 4-class framework that spans traditional industry boundaries. This classification are based on a combination of spending patterns, financial metrics, and language to identify each firm's business model. The resulting business model is then utilized in conjunction with additional financial and non-financial metrics, securities analysis, leading and lagging indicators, and/or industry comparison to produce a score which can be used to compare business performance within and across classifications to generate superior performance and mitigate risks for business leaders and investment managers.
    Type: Application
    Filed: April 11, 2017
    Publication date: April 26, 2018
    Inventors: Barry D. Libert, Megan Beck
  • Publication number: 20170305756
    Abstract: A method of preparing monodisperse MX semiconductor nanocrystals can include contacting an M-containing precursor with an X donor to form a mixture, where the molar ratio between the M containing precursor and the X donor is large. Alternatively, if additional X donor is added during the reaction, a smaller ratio between the M containing precursor and the X donor can be used to prepare monodisperse MX semiconductor nanocrystals.
    Type: Application
    Filed: November 1, 2016
    Publication date: October 26, 2017
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: William Tisdale, Ferry Prins, Mark Weidman, Megan Beck
  • Patent number: 9481582
    Abstract: A method of preparing monodisperse MX semiconductor nanocrystals can include contacting an M-containing precursor with an X donor to form a mixture, where the molar ratio between the M containing precursor and the X donor is large. Alternatively, if additional X donor is added during the reaction, a smaller ratio between the M containing precursor and the X donor can be used to prepare monodisperse MX semiconductor nanocrystals.
    Type: Grant
    Filed: November 24, 2014
    Date of Patent: November 1, 2016
    Assignee: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: William Tisdale, Ferry Prins, Mark Weidman, Megan Beck
  • Publication number: 20150151980
    Abstract: A method of preparing monodisperse MX semiconductor nanocrystals can include contacting an M-containing precursor with an X donor to form a mixture, where the molar ratio between the M containing precursor and the X donor is large. Alternatively, if additional X donor is added during the reaction, a smaller ratio between the M containing precursor and the X donor can be used to prepare monodisperse MX semiconductor nanocrystals.
    Type: Application
    Filed: November 24, 2014
    Publication date: June 4, 2015
    Applicant: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
    Inventors: William TISDALE, Ferry PRINS, Mark WEIDMAN, Megan BECK