Patents by Inventor Pierre Bruno BAQUÉ

Pierre Bruno BAQUÉ 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).

  • Shape optimisation of technical devices via gradient descent using convolutional neural network proxies
    Patent number: 11768983
    Abstract: The present invention generally relates to a method, a system and a computer program for shape optimisation of a technical device adapted to be exposed to a fluid flowing around a contour of said device with respect to its fluid dynamic parameters. In order to provide an improved method for shape optimisation of a technical device with respect to its fluid dynamic parameters which is faster, a method is provided comprising discretizing the shape of the technical device into a plurality of points along the contour of the technical device or into a surface mesh, and inputting the plurality of points or the surface mesh into a Convolutional Neural Network (CNN) for computing a prediction of the at least one fluid dynamic parameter.
    Type: Grant
    Filed: February 5, 2018
    Date of Patent: September 26, 2023
    Assignee: ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE EPFL-TTO
    Inventors: Pierre Bruno Baqué, Pascal Fua, Francois Fleuret
  • SHAPE OPTIMISATION OF TECHNICAL DEVICES VIA GRADIENT DESCENT USING CONVOLUTIONAL NEURAL NETWORK PROXIES
    Publication number: 20210157962
    Abstract: The present invention generally relates to a method, a system and a computer program for shape optimisation of a technical device adapted to be exposed to a fluid flowing around a contour of said device with respect to its fluid dynamic parameters. In order to provide an improved method for shape optimisation of a technical device with respect to its fluid dynamic parameters which is faster, a method is provided comprising discretizing the shape of the technical device into a plurality of points along the contour of the technical device or into a surface mesh, and inputting the plurality of points or the surface mesh into a Convolutional Neural Network (CNN) for computing a prediction of the at least one fluid dynamic parameter.
    Type: Application
    Filed: February 5, 2018
    Publication date: May 27, 2021
    Inventors: Pierre Bruno BAQUÉ, Pascal FUA, Francois FLEURET