Now showing items 1-12 of 64

    • RosneT: A block tensor algebra library for out-of-core quantum computing simulation 

      Sánchez Ramírez, Sergio; Conejero Bañón, Francisco Javier; Lordan Gomis, Francesc; Queralt Calafat, Anna; Cortés, Toni; Badia Sala, Rosa Maria; García Sáez, Artur (Institute of Electrical and Electronics Engineers (IEEE), 2021)
      Conference report
      Open Access
      With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target system Tensor Networks emerge as an optimal ...
    • Epicentral region estimation using convolutional neural networks 

      Cruz de la Cruz, Stalin Leonel; Tous Liesa, Rubén; Otero Calviño, Beatriz; Alvarado Bermúdez, Leonardo; Mus León, Sergi; Rojas Ulacio, Otilio Jose (Springer Nature, 2022)
      Conference report
      Restricted access - publisher's policy
      Recent works have assessed the capability of deep neural networks of estimating the epicentral source region of a seismic event from a single-station three-channel signal. In all the cases, the geographical partitioning ...
    • A data-driven wall-shear stress model for LES using gradient boosted decision trees 

      Radhakrishnan, Sarath; Adu Gyamfi, Lawrence; Miró Jané, Arnau; Font García, Bernat; Calafell Sandiumenge, Joan; Lehmkuhl Barba, Oriol (Springer Nature, 2021)
      Conference report
      Open Access
      With the recent advances in machine learning, data-driven strategies could augment wall modeling in large eddy simulation (LES). In this work, a wall model based on gradient boosted decision trees is presented. The model ...
    • Development of the conditional moment closure with a multi-code approach in the frame of Large Eddy Simulations 

      Pérez Sánchez, Eduardo Javier; Mira, Daniel; Lehmkuhl Barba, Oriol; Houzeaux, Guillaume (MCM, 2021)
      Conference lecture
      Open Access
      The Conditional Moment Closure (CMC), devised for turbulent combustion modelling, was implemented in the multiphysics code Alya, based on the Finite Element Method (FEM), in the frame of Large Eddy Simulations (LES) for ...
    • Optimization of the progress variable definition using a genetic algorithm for the combustion of complex fuels 

      Both, Ambrus; Mira Martínez, Daniel; Lehmkuhl Barba, Oriol (MCM, 2021)
      Conference lecture
      Open Access
      In this work counterflow diffusion flamelets of n-heptane and air are used at stable and unsteady extinguishing conditions for building a thermo-chemical database for Computational Fluid Dynamics (CFD) calculations. The ...
    • High-fidelity simulations of the mixing and combustion of a technically premixed hydrogen flame 

      Mira Martínez, Daniel; Both, Ambrus; Lehmkuhl Barba, Oriol; Gomez Gonzalez, Samuel; Forck, Jonathan; Tanneberger, Tom; Stathopoulos, Panagiotis; Paschereit, Christian Oliver (MCM, 2021)
      Conference lecture
      Open Access
      Numerical simulations are used here to obtain further understanding on the flashback mechanism of a technically premixed hydrogen flame operated in lean conditions. Recent work from the authors (Mira et al., 2020) showed ...
    • Semi implicit solver for high fidelity LES/DNS solutions of reacting flows 

      Surapaneni, Anurag; Mira Martínez, Daniel (MCM, 2021)
      Conference lecture
      Open Access
      A semi-implicit/point-implicit stiff solver (ODEPIM) for integrating chemistry in context of high fidelity LES/DNS simulations is presented. A detailed overview of the algorithm and its numerical formulation is discussed. ...
    • Subdivided linear and curved meshes preserving features of a linear mesh model 

      Jiménez Ramos, Albert; Gargallo Peiró, Abel; Roca Navarro, Francisco Javier (Sandia National Laboratories, 2019)
      Conference report
      Open Access
      To provide straight-edged and curved piece-wise polynomial meshes that target a unique smooth geometry while preserving the sharp features and smooth regions of the model, we propose a new fast curving method based on ...
    • Improving object detection in paintings based on time contexts 

      Marinescu, Maria Cristina; Reshetnikov, Artem; More López, Joaquim (Institute of Electrical and Electronics Engineers (IEEE), 2020)
      Conference report
      Open Access
      This paper proposes a novel approach to object detection for the Cultural Heritage domain, which relies on combining Deep Learning and semantic metadata about candidate objects extracted from existing sources such as ...
    • Measuring spatial subdivisions in urban mobility with mobile phone data 

      Graells Garrido, Eduardo; Meta, Irene; Serra Burriel, Feliu; Reyes Valenzuela, Patricio Alejandro; Cucchietti, Fernando (Association for Computing Machinery (ACM), 2020)
      Conference report
      Open Access
      Urban population grows constantly. By 2050 two thirds of the world population will reside in urban areas. This growth is faster and more complex than the ability of cities to measure and plan for their sustainability. To ...
    • Random forest parameterization for earthquake catalog generation 

      Llácer Giner, David; Otero Calviño, Beatriz; Tous Liesa, Rubén; Monterrubio Velasco, Marisol; Carrasco Jiménez, José; Rojas Ulacio, Otilio (Springer, 2020)
      Conference report
      Open Access
      An earthquake is the vibration pattern of the Earth’s crust induced by the sliding of geological faults. They are usually recorded for later studies. However, strong earthquakes are rare, small-magnitude events may pass ...
    • Effect of the actuation on the boundary layer of an airfoil at moderate reynolds number 

      Lehmkuhl Barba, Oriol; Rodríguez Pérez, Ivette María; Borrell Pol, Ricard (Springer, 2020)
      Conference report
      Restricted access - publisher's policy
      Synthetic (zero net mass flux) jets are an active flow control technique to manipulate the flow field in wall-bounded and free-shear flows. The fluid necessary to actuate on the boundary layer is intermittently injected ...