Laboratoire Procédés et Ingénierie en Mécanique et Matériaux (PIMM): Soumissions récentes

Voici les éléments 309-315 de 1234

    • Real-Time Path Planning Based on Harmonic Functions under a Proper Generalized Decomposition-Based Framework 
      Article dans une revue avec comité de lecture
      MONTÉS, Nicolas; MORA, Marta C.; FALCÓ, Antonio; HILARIO, Lucia; ROSILLO, Nuria; NADAL, Enrique; ccCHINESTA SORIA, Francisco (MDPI AG, 2021)
      This paper presents a real-time global path planning method for mobile robots using harmonic functions, such as the Poisson equation, based on the Proper Generalized Decomposition (PGD) of these functions. The main property ...
    • Seismic vulnerability assessment of buried pipelines: A 3D parametric study 
      Article dans une revue avec comité de lecture
      GERMOSO, Claudia; GONZALEZ, Omar; ccCHINESTA SORIA, Francisco (Elsevier BV, 2021)
      Pipeline structural analysis is a well-developed topic in engineering and research practice. Since water, oil or gas pipeline systems are a key part of modern development, therefore, it is important to ensure an appropriate ...
    • Learning non-Markovian physics from data 
      Article dans une revue avec comité de lecture
      GONZÁLEZ, David; CUETO, Elías; ccCHINESTA SORIA, Francisco (Elsevier, 2021)
      We present a method for the data-driven learning of physical phenomena whose evolution in time depends on history terms. It is well known that a Mori-Zwanzig-type projection produces a description of the physical phenomena ...
    • Development of a Model Based on Physical Mechanisms for the Explanation of Drug Release: Application to Diclofenac Release from Polyurethane Films 
      Article dans une revue avec comité de lecture
      ABBASNEZHAD, Navideh; KEBDANI, Mohamed; SHIRINBAYAN, Mohammadali; ccKOUIDRI, SMAINE; ccTCHARKHTCHI, Abbas; ccCHAMPMARTIN, Stephane; ccBAKIR, Farid (MDPI AG, 2021)
      In this study, we present a method for prediction of the drug-release profile based on the physical mechanisms that can intervene in drug release from a drug-carrier. The application presented here incorporates the effects ...
    • Deep learning of thermodynamics-aware reduced-order models from data 
      Article dans une revue avec comité de lecture
      HERNANDEZ, Quercus; BADIAS, Alberto; GONZALEZ, David; CUETO, Elias; ccCHINESTA SORIA, Francisco (Elsevier, 2021)
      We present an algorithm to learn the relevant latent variables of a large-scale discretized physical system and predict its time evolution using thermodynamically-consistent deep neural networks. Our method relies on sparse ...
    • Enhanced parametric shape descriptions in PGD-based space separated representations 
      Article dans une revue avec comité de lecture
      KAZEMZADEH-PARSI, Mohammad Javad; DUVAL, Jean-Louis; ccAMMAR, Amine; ccCHINESTA SORIA, Francisco (2021)
      Space separation within the Proper Generalized Decomposition—PGD—rationale allows solving high dimensional problems as a sequence of lower dimensional ones. In our former works, different geometrical transformations were ...
    • The international journal of material forming - 10th anniversary 
      Article dans une revue avec comité de lecture
      ccCHINESTA SORIA, Francisco (Springer Science and Business Media LLC, 2021)
      Editorial