paper-conference

Flow Activity-Based Sampling (FABaS) of 3D LES-Generated Flow Fields for AI-Based Flow Compression and Prediction
Flow image-based deep learning methods are emerging as a promising alternative to advance the wind-resistant design of civil …
Omar A. Mures, Abrahan Dopazo, Miguel Cid Montoya
Cite
Flow Activity-Based Sampling (FABaS) of 3D LES-Generated Flow Fields for AI-Based Flow Compression and Prediction
Extreme Compression of LES Flow Data
The increasing reliability of Computational Fluid Dynamics (CFD) simulations has established them as essential tools for aerodynamic …
Omar A. Mures, Miguel Cid Montoya, Sumit Verma
PDF Cite DOI
Extreme Compression of LES Flow Data
Deep learning emulation of forced vibration flows for accurate prediction of shape-dependent self-excited forces
Accurate prediction of aeroelastic behavior is crucial in the wind-resistant design of bridges. Hence, developing robust workflows is …
Omar A. Mures, Miguel Cid Montoya, Sumit Verma, Ashustosh Mishra
PDF Cite
Deep learning emulation of forced vibration flows for accurate prediction of shape-dependent self-excited forces
Extreme compression of URANS flow data
The rise of exascale supercomputing has motivated an increase in high-fidelity CFD simulations, yielding massive datasets that can pose …
Omar A. Mures, Miguel Cid Montoya, Sumit Verma, Ashustosh Mishra
PDF Cite
Extreme compression of URANS flow data
An aerodynamic dataset for AI-driven wind-resistant design optimization of bridges
This presentation showcases a method for aerodynamic shape optimization of bridge decks. It involves generating a comprehensive …
Miguel Cid Montoya, Omar A. Mures, Sumit Verma, Ashustosh Mishra
Cite Video
An aerodynamic dataset for AI-driven wind-resistant design optimization of bridges
In-transit molecular dynamics analysis with Apache flink
In this paper, an on-line parallel analytics framework is proposed to process and store in transit all the data being generated by a …
Henrique C. Zanúz, Bruno Raffin, Omar A. Mures, Emilio J. Padrón
PDF Cite DOI
In-transit molecular dynamics analysis with Apache flink
Leveraging the Power of Big Data Tools for Large Scale Molecular Dynamics Analysis
Parallel Molecular Dynamics simulations are generating atom trajectories of growing sizes and complexity. Analyzing these trajectories …
Omar A. Mures, Emilio J. Padrón, Bruno Raffin
PDF Cite
Leveraging the Power of Big Data Tools for Large Scale Molecular Dynamics Analysis