Patents by Inventor Léo NICOLETTI

Léo NICOLETTI 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: 20230325565
    Abstract: A method for simulating the combustion of a fluid in a combustion chamber, for the design of said combustion chamber, which includes: discretizing the space of the chamber into a given mesh; training a neural network by means of a learning set associating a graph corresponding to the mesh, the vertices of which have, as a value, progress variables predicted by a computational fluid dynamics simulation with local combustion quantities at these vertices; and an iterative simulation phase, where: the values predicted by the neural network of a local combustion quantity at the vertices of the mesh are provided as input to a solver, in order to obtain a value of a progress variable at each vertex of said mesh, and a graph corresponding to the vertices of the mesh is provided to said neural network, each vertex having a corresponding value of said progress variable, obtained by said solver, in order to obtain predicted values of the local combustion quantity at said vertices.
    Type: Application
    Filed: March 22, 2023
    Publication date: October 12, 2023
    Applicant: BULL SAS
    Inventors: Gaël GORET, Christophe BOVALO, Alexis GIORKALLOS, Léo NICOLETTI, Rami SALEM
  • Publication number: 20220229948
    Abstract: A method for simulating the behavior of a system (20) composed of a subsystem (10), such as an aerial vehicle, in a physical environment (21) made of an incompressible fluid, comprising training a multilayer neural network (HNN) by means of a training set associating coordinates (x, y) in said physical environment (21) and respective values of a gradient of the current function (?) at said coordinates (x,y), and a loss function configured to minimize an error between a gradient (S?) of the output of said neural network and said gradient of the current function; using said neural network to predict a value of a current function (?) and a velocity field (u) by providing it with input coordinates.
    Type: Application
    Filed: January 13, 2022
    Publication date: July 21, 2022
    Applicant: BULL SAS
    Inventors: Léo NICOLETTI, Alexis GIORKALLOS, Gaël GORET
  • Publication number: 20210365616
    Abstract: A method for simulating the behavior of a system (20) composed by a subsystem (10) in a physical environment (21), by a set of modules, each simulating a portion of said system, wherein at least one portion (11) of said subsystem (10) is simulated by a module implementing a multilayer neural network, the other modules implementing simulations based on behavioral physical laws; said method comprising the assessment (S2) of the results of the simulation to automatically decide (S3) on a strategy to trigger updates (S4) of parameters associated to said multilayer neural network.
    Type: Application
    Filed: May 19, 2021
    Publication date: November 25, 2021
    Applicant: BULL SAS
    Inventors: Gaël GORET, Léo NICOLETTI, Stéphane PRALET, Cédric BOURRASSET