Active learning of data-assimilation closures using Graph Neural Networks
Fuente:
arXiv
Saved in:
| Main Authors: | Quattromini, Michele, Bucci, Michele Alessandro, Cherubini, Stefania, Semeraro, Onofrio |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Mean flow data assimilation using physics-constrained Graph Neural Networks
by: Quattromini, M., et al.
Published: (2024)
by: Quattromini, M., et al.
Published: (2024)
Solver-in-the-loop approach to closure of shell models of turbulence
by: Freitas, André, et al.
Published: (2024)
by: Freitas, André, et al.
Published: (2024)
Inferring the Turbulent Breakup of Colloidal Aggregates Using Graph Neural Networks
by: Buzzicotti, Michele, et al.
Published: (2026)
by: Buzzicotti, Michele, et al.
Published: (2026)
Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames
by: Giannotta, Alessandro, et al.
Published: (2024)
by: Giannotta, Alessandro, et al.
Published: (2024)
Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
by: Marra, Luigi, et al.
Published: (2025)
by: Marra, Luigi, et al.
Published: (2025)
Deep learning in the abyss: a stratified Physics Informed Neural Network for data assimilation
by: Limousin, Vadim, et al.
Published: (2025)
by: Limousin, Vadim, et al.
Published: (2025)
Predictability of weakly turbulent systems from spatially sparse observations using data assimilation and machine learning
by: Gupta, Vikrant, et al.
Published: (2024)
by: Gupta, Vikrant, et al.
Published: (2024)
A posteriori closure of turbulence models: are symmetries preserved?
by: Freitas, André, et al.
Published: (2025)
by: Freitas, André, et al.
Published: (2025)
Large-scale streak instabilities of transitional channel flow
by: Ciola, Nicola, et al.
Published: (2025)
by: Ciola, Nicola, et al.
Published: (2025)
Three-dimensional variational data assimilation of separated flows using time-averaged experimental data
by: Padmanaban, Uttam Cadambi, et al.
Published: (2025)
by: Padmanaban, Uttam Cadambi, et al.
Published: (2025)
Invariant Control Strategies for Active Flow Control using Graph Neural Networks
by: Kurz, Marius, et al.
Published: (2025)
by: Kurz, Marius, et al.
Published: (2025)
Statistical machine learning tools for probabilistic closures of turbulence models
by: Lemos, Julia Domingues, et al.
Published: (2025)
by: Lemos, Julia Domingues, et al.
Published: (2025)
Online model learning with data-assimilated reservoir computers
by: Nóvoa, Andrea, et al.
Published: (2025)
by: Nóvoa, Andrea, et al.
Published: (2025)
Determination of Navier's slip parameter using data assimilation
by: Jarolímová, Alena, et al.
Published: (2024)
by: Jarolímová, Alena, et al.
Published: (2024)
Latent-space variational data assimilation in two-dimensional turbulence
by: Cleary, Andrew, et al.
Published: (2025)
by: Cleary, Andrew, et al.
Published: (2025)
Real-time data assimilation for the thermodynamic modeling of cryogenic storage tanks
by: Marques, Pedro Afonso, et al.
Published: (2023)
by: Marques, Pedro Afonso, et al.
Published: (2023)
Spectral adjoint-based assimilation of sparse data in unsteady simulations of turbulent flows
by: Plogmann, Justin, et al.
Published: (2024)
by: Plogmann, Justin, et al.
Published: (2024)
Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure
by: Wang, Mengze, et al.
Published: (2024)
by: Wang, Mengze, et al.
Published: (2024)
Turbulence generation and data assimilation in wall-bounded flows with a latent diffusion model
by: Steinbrenner, Fabian, et al.
Published: (2026)
by: Steinbrenner, Fabian, et al.
Published: (2026)
A low cost singular value decomposition based data assimilation technique for analysis of heterogeneous combustion data
by: Pillai, Prajith, et al.
Published: (2025)
by: Pillai, Prajith, et al.
Published: (2025)
Data assimilation for energy-aware hybrid models
by: Shevchenko, Igor, et al.
Published: (2025)
by: Shevchenko, Igor, et al.
Published: (2025)
Novel Pressure-Equilibrium and Kinetic-Energy Preserving fluxes for compressible flows based on the harmonic mean
by: De Michele, Carlo, et al.
Published: (2024)
by: De Michele, Carlo, et al.
Published: (2024)
Numerical treatment of the energy equation in compressible flows simulations
by: De Michele, Carlo, et al.
Published: (2022)
by: De Michele, Carlo, et al.
Published: (2022)
Turbulence closure in the light of phase transition
by: Azim, Mohammed A.
Published: (2021)
by: Azim, Mohammed A.
Published: (2021)
Can physical information aid the generalization ability of Neural Networks for hydraulic modeling?
by: Guglielmo, Gianmarco, et al.
Published: (2024)
by: Guglielmo, Gianmarco, et al.
Published: (2024)
On the closure of curvature in 2D flamelet theory
by: Olguin, Hernan, et al.
Published: (2024)
by: Olguin, Hernan, et al.
Published: (2024)
A variational data assimilation approach for sparse velocity reference data in coarse RANS simulations through a corrective forcing term
by: Brenner, Oliver, et al.
Published: (2023)
by: Brenner, Oliver, et al.
Published: (2023)
Field investigation of 3D snow settling dynamics under weak atmospheric turbulence
by: Li, Jiaqi, et al.
Published: (2024)
by: Li, Jiaqi, et al.
Published: (2024)
Inference of microporosity phase properties in heterogeneous carbonate rock with data assimilation techniques
by: Bo, Zhenkai, et al.
Published: (2025)
by: Bo, Zhenkai, et al.
Published: (2025)
New Interpretation for error propagation of data-driven Reynolds stress closures via global stability analysis
by: Shan, Xianglin, et al.
Published: (2024)
by: Shan, Xianglin, et al.
Published: (2024)
Projection-based reduced order modeling and data-driven artificial viscosity closures for incompressible fluid flows
by: Prakash, Aviral, et al.
Published: (2024)
by: Prakash, Aviral, et al.
Published: (2024)
Neural ensemble Kalman filter: Data assimilation for compressible flows with shocks
by: Zhou, Xu-Hui, et al.
Published: (2026)
by: Zhou, Xu-Hui, et al.
Published: (2026)
To stall-cell or not to stall-cell: Variational data assimilation of 3D mean flow past a stalled airfoil
by: Padmanaban, Uttam Cadambi, et al.
Published: (2026)
by: Padmanaban, Uttam Cadambi, et al.
Published: (2026)
Bubble departure and sliding in high-pressure flow boiling of water
by: Kossolapov, Artyom, et al.
Published: (2023)
by: Kossolapov, Artyom, et al.
Published: (2023)
Unifying formalism and closures for coarse-grained approaches to turbulence
by: Cimarelli, A., et al.
Published: (2025)
by: Cimarelli, A., et al.
Published: (2025)
Sparse data assimilation for under-resolved large-eddy simulations
by: Plogmann, Justin, et al.
Published: (2024)
by: Plogmann, Justin, et al.
Published: (2024)
Online learning of eddy-viscosity and backscattering closures for geophysical turbulence using ensemble Kalman inversion
by: Guan, Yifei, et al.
Published: (2024)
by: Guan, Yifei, et al.
Published: (2024)
A closure mechanism for screech coupling in rectangular twin jets
by: Jeun, Jinah, et al.
Published: (2022)
by: Jeun, Jinah, et al.
Published: (2022)
On the importance of stochasticity in closures of turbulence
by: Freitas, André, et al.
Published: (2026)
by: Freitas, André, et al.
Published: (2026)
On the Reynolds analogy for high-speed rough-wall flows: implications for wall modelling
by: Cogo, Michele, et al.
Published: (2026)
by: Cogo, Michele, et al.
Published: (2026)
Similar Items
-
Mean flow data assimilation using physics-constrained Graph Neural Networks
by: Quattromini, M., et al.
Published: (2024) -
Solver-in-the-loop approach to closure of shell models of turbulence
by: Freitas, André, et al.
Published: (2024) -
Inferring the Turbulent Breakup of Colloidal Aggregates Using Graph Neural Networks
by: Buzzicotti, Michele, et al.
Published: (2026) -
Bayesian inference of physics-based models of acoustically-forced laminar premixed conical flames
by: Giannotta, Alessandro, et al.
Published: (2024) -
Latent-Space Non-Linear Model Predictive Control for Partially-Observable Systems
by: Marra, Luigi, et al.
Published: (2025)