Patents by Inventor Bart Jacobus Martinus TIEMERSMA

Bart Jacobus Martinus TIEMERSMA 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).

  • MODULAR AUTOENCODER MODEL FOR MANUFACTURING PROCESS PARAMETER ESTIMATION
    Publication number: 20240060906
    Abstract: A modular autoencoder model is described. The modular autoencoder model comprises input models configured to process one or more inputs to a first level of dimensionality suitable for combination with other inputs; a common model configured to: reduce a dimensionality of combined processed inputs to generate low dimensional data in a latent space; and expand the low dimensional data in the latent space into one or more expanded versions of the one or more inputs suitable for generating one or more different outputs; output models configured to use the one or more expanded versions of the one or more inputs to generate the one or more different outputs, the one or more different outputs being approximations of the one or more inputs; and a prediction model configured to estimate one or more parameters based on the low dimensional data in the latent space.
    Type: Application
    Filed: December 20, 2021
    Publication date: February 22, 2024
    Applicant: ASML Netherlands B.V.
    Inventors: Bart Jacobus Martinus TIEMERSMA, Alexandru ONOSE, Nick VERHEUL, Remco DIRKS
  • MODULAR AUTOENCODER MODEL FOR MANUFACTURING PROCESS PARAMETER ESTIMATION
    Publication number: 20240061347
    Abstract: A modular autoencoder model is described. The modular autoencoder model comprises input models configured to process one or more inputs to a first level of dimensionality suitable for combination with other inputs; a common model configured to: reduce a dimensionality of combined processed inputs to generate low dimensional data in a latent space; and expand the low dimensional data in the latent space into one or more expanded versions of the one or more inputs suitable for generating one or more different outputs; output models configured to use the one or more expanded versions of the one or more inputs to generate the one or more different outputs, the one or more different outputs being approximations of the one or more inputs; and a prediction model configured to estimate one or more parameters based on the low dimensional data in the latent space.
    Type: Application
    Filed: December 20, 2021
    Publication date: February 22, 2024
    Applicant: ASML Netherlands B.V.
    Inventors: Alexandru ONOSE, Bart Jacobus Martinus TIEMERSMA, Nick VERHEUL, Remco DIRKS