Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Hybrid analysis and modeling, eclecticism, and multifidelity computing toward digital twin revolution
Authors
Keywords
-
Journal
GAMM Mitteilungen
Volume 44, Issue 2, Pages -
Publisher
Wiley
Online
2021-05-28
DOI
10.1002/gamm.202100007
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An Exploratory Study on Machine Learning to Couple Numerical Solutions of Partial Differential Equations
- (2021) H.S. Tang et al. Communications in Nonlinear Science and Numerical Simulation
- Physics guided machine learning using simplified theories
- (2021) Suraj Pawar et al. PHYSICS OF FLUIDS
- Learning earth system models from observations: machine learning or data assimilation?
- (2021) A. J. Geer PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Multifidelity computing for coupling full and reduced order models
- (2021) Shady E. Ahmed et al. PLoS One
- A digital twin of Earth for the green transition
- (2021) Peter Bauer et al. Nature Climate Change
- A nudged hybrid analysis and modeling approach for realtime wake-vortex transport and decay prediction
- (2021) Shady E. Ahmed et al. COMPUTERS & FLUIDS
- Applying deep reinforcement learning to active flow control in weakly turbulent conditions
- (2021) Feng Ren et al. PHYSICS OF FLUIDS
- A Review of Domain Decomposition Methods for Simulation of Fluid Flows: Concepts, Algorithms, and Applications
- (2020) H. S. Tang et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Feature engineering and symbolic regression methods for detecting hidden physics from sparse sensor observation data
- (2020) Harsha Vaddireddy et al. PHYSICS OF FLUIDS
- Physics-Informed Probabilistic Learning of Linear Embeddings of Nonlinear Dynamics with Guaranteed Stability
- (2020) Shaowu Pan et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- A priori analysis on deep learning of subgrid-scale parameterizations for Kraichnan turbulence
- (2020) Suraj Pawar et al. THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS
- Machine Learning in Geo- and Environmental Sciences: From Small to Large Scale
- (2020) Pejman Tahmasebi et al. ADVANCES IN WATER RESOURCES
- Restoring chaos using deep reinforcement learning
- (2020) Sumit Vashishtha et al. CHAOS
- Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems
- (2020) Alexander Wikner et al. CHAOS
- Data‐driven physics‐based digital twins via a library of component‐based reduced‐order models
- (2020) M.G. Kapteyn et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Bilevel optimization, deep learning and fractional Laplacian regularizatin with applications in tomography
- (2020) Harbir Antil et al. INVERSE PROBLEMS
- Spatiotemporally dynamic implicit large eddy simulation using machine learning classifiers
- (2020) Romit Maulik et al. PHYSICA D-NONLINEAR PHENOMENA
- Data-driven recovery of hidden physics in reduced order modeling of fluid flows
- (2020) Suraj Pawar et al. PHYSICS OF FLUIDS
- Exploration and prediction of fluid dynamical systems using auto-encoder technology
- (2020) Lionel Agostini PHYSICS OF FLUIDS
- An Evolve-Then-Correct Reduced Order Model for Hidden Fluid Dynamics
- (2020) Suraj Pawar et al. Mathematics
- Closed-Loop Flow Separation Control Using the Deep Q Network over Airfoil
- (2020) Satoshi Shimomura et al. AIAA JOURNAL
- An asymptotically compatible formulation for local-to-nonlocal coupling problems without overlapping regions
- (2020) Huaiqian You et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A long short-term memory embedding for hybrid uplifted reduced order models
- (2020) Shady E. Ahmed et al. PHYSICA D-NONLINEAR PHENOMENA
- Long short-term memory embedded nudging schemes for nonlinear data assimilation of geophysical flows
- (2020) Suraj Pawar et al. PHYSICS OF FLUIDS
- River/stream water temperature forecasting using artificial intelligence models: a systematic review
- (2020) Senlin Zhu et al. Acta Geophysica
- Learning constitutive relations from indirect observations using deep neural networks
- (2020) Daniel Z. Huang et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Interface learning in fluid dynamics: Statistical inference of closures within micro–macro-coupling models
- (2020) Suraj Pawar et al. PHYSICS OF FLUIDS
- Reinforcement learning for bluff body active flow control in experiments and simulations
- (2020) Dixia Fan et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Multi-level convolutional autoencoder networks for parametric prediction of spatio-temporal dynamics
- (2020) Jiayang Xu et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Machine learning based digital twin for dynamical systems with multiple time-scales
- (2020) S. Chakraborty et al. COMPUTERS & STRUCTURES
- Linearly Recurrent Autoencoder Networks for Learning Dynamics
- (2019) Samuel E. Otto et al. SIAM JOURNAL ON APPLIED DYNAMICAL SYSTEMS
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Big wind power: seven questions for turbulence research
- (2019) Charles Meneveau JOURNAL OF TURBULENCE
- Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control
- (2019) Jean Rabault et al. JOURNAL OF FLUID MECHANICS
- Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging
- (2019) Yiwen Xu et al. CLINICAL CANCER RESEARCH
- Digital Twin in Industry: State-of-the-Art
- (2019) Fei Tao et al. IEEE Transactions on Industrial Informatics
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data
- (2019) Yinhao Zhu et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Sub-grid scale model classification and blending through deep learning
- (2019) Romit Maulik et al. JOURNAL OF FLUID MECHANICS
- Deep neural network for unsteady aerodynamic and aeroelastic modeling across multiple Mach numbers
- (2019) Kai Li et al. NONLINEAR DYNAMICS
- Applying Machine Learning to Improve Simulations of a Chaotic Dynamical System Using Empirical Error Correction
- (2019) Peter A. G. Watson Journal of Advances in Modeling Earth Systems
- A reduced order variational multiscale approach for turbulent flows
- (2019) Giovanni Stabile et al. ADVANCES IN COMPUTATIONAL MATHEMATICS
- Reduced-Order Modeling Framework for Combustor Instabilities Using Truncated Domain Training
- (2019) Jiayang Xu et al. AIAA JOURNAL
- Prediction of aerodynamic flow fields using convolutional neural networks
- (2019) Saakaar Bhatnagar et al. COMPUTATIONAL MECHANICS
- Model order reduction in aerodynamics: Review and applications
- (2019) Gonçalo Mendonça et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
- Nonparametric inference of interaction laws in systems of agents from trajectory data
- (2019) Fei Lu et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Machine Learning for Fluid Mechanics
- (2019) Steven L. Brunton et al. Annual Review of Fluid Mechanics
- The digital twin of discrete dynamic systems: Initial approaches and future challenges
- (2019) R. Ganguli et al. APPLIED MATHEMATICAL MODELLING
- Deep reinforcement learning with its application for lung cancer detection in medical Internet of Things
- (2019) Zhuo Liu et al. Future Generation Computer Systems-The International Journal of eScience
- Active control of vortex-induced vibration of a circular cylinder using machine learning
- (2019) Feng Ren et al. PHYSICS OF FLUIDS
- A deep learning enabler for nonintrusive reduced order modeling of fluid flows
- (2019) S. Pawar et al. PHYSICS OF FLUIDS
- Adversarial Examples: Attacks and Defenses for Deep Learning
- (2019) Xiaoyong Yuan et al. IEEE Transactions on Neural Networks and Learning Systems
- Recent advances and applications of machine learning in solid-state materials science
- (2019) Jonathan Schmidt et al. npj Computational Materials
- Modal Analysis of Fluid Flows: Applications and Outlook
- (2019) Kunihiko Taira et al. AIAA JOURNAL
- A smart agriculture IoT system based on deep reinforcement learning
- (2019) Fanyu Bu et al. Future Generation Computer Systems-The International Journal of eScience
- Optimization under turbulence model uncertainty for aerospace design
- (2019) L. W. Cook et al. PHYSICS OF FLUIDS
- Memory embedded non-intrusive reduced order modeling of non-ergodic flows
- (2019) Shady E. Ahmed et al. PHYSICS OF FLUIDS
- Control of chaotic systems by deep reinforcement learning
- (2019) M. A. Bucci et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Grand challenges in the science of wind energy
- (2019) Paul Veers et al. SCIENCE
- Perspective on machine learning for advancing fluid mechanics
- (2019) M. P. Brenner et al. Physical Review Fluids
- Deep neural networks for data-driven LES closure models
- (2019) Andrea Beck et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders
- (2019) Kookjin Lee et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Non-intrusive reduced-order modeling for fluid problems: A brief review
- (2019) Jian Yu et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
- Neural network closures for nonlinear model order reduction
- (2018) Omer San et al. ADVANCES IN COMPUTATIONAL MATHEMATICS
- Hybrid forecasting of chaotic processes: Using machine learning in conjunction with a knowledge-based model
- (2018) Jaideep Pathak et al. CHAOS
- A monolithic fluid–structure interaction formulation for solid and liquid membranes including free-surface contact
- (2018) Roger A. Sauer et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A component-based hybrid reduced basis/finite element method for solid mechanics with local nonlinearities
- (2018) J. Ballani et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Reduced order modeling for physically-based augmented reality
- (2018) Alberto Badías et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines
- (2018) David Charte et al. Information Fusion
- Modelling yawed wind turbine wakes: a lifting line approach
- (2018) Carl R. Shapiro et al. JOURNAL OF FLUID MECHANICS
- Machine Learning: Deepest Learning as Statistical Data Assimilation Problems
- (2018) Henry D. I. Abarbanel et al. NEURAL COMPUTATION
- Small scale exact coherent structures at large Reynolds numbers in plane Couette flow
- (2018) Bruno Eckhardt et al. NONLINEARITY
- Data-assisted reduced-order modeling of extreme events in complex dynamical systems
- (2018) Zhong Yi Wan et al. PLoS One
- Efficient collective swimming by harnessing vortices through deep reinforcement learning
- (2018) Siddhartha Verma et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks
- (2018) Pantelis R. Vlachas et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Numerical investigation of modeling frameworks and geometric approximations on NREL 5 MW wind turbine
- (2018) M. Salman Siddiqui et al. RENEWABLE ENERGY
- Robust Discretization of Flow in Fractured Porous Media
- (2018) Wietse M. Boon et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- The Shifted Proper Orthogonal Decomposition: A Mode Decomposition for Multiple Transport Phenomena
- (2018) J. Reiss et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
- (2018) Naveed Akhtar et al. IEEE Access
- Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework
- (2018) Jin-Long Wu et al. Physical Review Fluids
- Fluid directed rigid body control using deep reinforcement learning
- (2018) Pingchuan Ma et al. ACM TRANSACTIONS ON GRAPHICS
- Stabilized principal interval decomposition method for model reduction of nonlinear convective systems with moving shocks
- (2018) Mansoor Ahmed et al. COMPUTATIONAL & APPLIED MATHEMATICS
- Image reconstruction by domain-transform manifold learning
- (2018) Bo Zhu et al. NATURE
- Virtual, Digital and Hybrid Twins: A New Paradigm in Data-Based Engineering and Engineered Data
- (2018) Francisco Chinesta et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Unified approach to discretization of flow in fractured porous media
- (2018) J. M. Nordbotten et al. COMPUTATIONAL GEOSCIENCES
- Subgrid modelling for two-dimensional turbulence using neural networks
- (2018) R. Maulik et al. JOURNAL OF FLUID MECHANICS
- Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
- (2018) R. Maulik et al. PHYSICS OF FLUIDS
- Sparse identification of nonlinear dynamics for model predictive control in the low-data limit
- (2018) E. Kaiser et al. PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
- (2018) M. Raissi et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow
- (2018) Eivind Fonn et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Enabling Smart Data: Noise filtering in Big Data classification
- (2018) Diego García-Gil et al. INFORMATION SCIENCES
- Schur complement domain decomposition methods for the solution of multiple scattering problems
- (2017) Michael Pedneault et al. IMA JOURNAL OF APPLIED MATHEMATICS
- A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials
- (2017) Karel Matouš et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A comparative study between partitioned and monolithic methods for the problems with 3D fluid-structure interaction of blood vessels
- (2017) Sang Truong Ha et al. Journal of Mechanical Science and Technology
- A survey on deep learning in medical image analysis
- (2017) Geert Litjens et al. MEDICAL IMAGE ANALYSIS
- Optimal Spectral Nudging for Global Dynamic Downscaling
- (2017) Martina Schubert-Frisius et al. MONTHLY WEATHER REVIEW
- What you see is what you can change: Human-centered machine learning by interactive visualization
- (2017) Dominik Sacha et al. NEUROCOMPUTING
- Forecasting Fluid Flows Using the Geometry of Turbulence
- (2017) Balachandra Suri et al. PHYSICAL REVIEW LETTERS
- Periodic Traveling Waves of the Regularized Short Pulse and Ostrovsky Equations: Existence and Stability
- (2017) Sevdzhan Hakkaev et al. SIAM JOURNAL ON MATHEMATICAL ANALYSIS
- Localized Linear Systems in Sequential Implicit Simulation of Two-Phase Flow and Transport
- (2017) Soham M. Sheth et al. SPE JOURNAL
- Hybrid modeling and prediction of dynamical systems
- (2017) Franz Hamilton et al. PLoS Computational Biology
- Leveraging uncertainty information from deep neural networks for disease detection
- (2017) Christian Leibig et al. Scientific Reports
- Domain Decomposition Methods for Domain Composition Purpose: Chimera, Overset, Gluing and Sliding Mesh Methods
- (2016) G. Houzeaux et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Geometric multiscale modeling of the cardiovascular system, between theory and practice
- (2016) A. Quarteroni et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Closed-loop separation control over a sharp edge ramp using genetic programming
- (2016) Antoine Debien et al. EXPERIMENTS IN FLUIDS
- A North American Hourly Assimilation and Model Forecast Cycle: The Rapid Refresh
- (2016) Stanley G. Benjamin et al. MONTHLY WEATHER REVIEW
- Numerical benchmarking of fluid–structure interaction: An isogeometric finite element approach
- (2016) Knut Nordanger et al. OCEAN ENGINEERING
- Learning to soar in turbulent environments
- (2016) Gautam Reddy et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Discovering governing equations from data by sparse identification of nonlinear dynamical systems
- (2016) Steven L. Brunton et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Lagrangian Coherent Structures
- (2015) George Haller Annual Review of Fluid Mechanics
- Closed-Loop Turbulence Control: Progress and Challenges
- (2015) Steven L. Brunton et al. Applied Mechanics Reviews
- Simulation of airflow past a 2D NACA0015 airfoil using an isogeometric incompressible Navier–Stokes solver with the Spalart–Allmaras turbulence model
- (2015) Knut Nordanger et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Implementation and comparison of three isogeometric Navier–Stokes solvers applied to simulation of flow past a fixed 2D NACA0012 airfoil at high Reynolds number
- (2015) Knut Nordanger et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Simple a posteriori error estimators in adaptive isogeometric analysis
- (2015) Mukesh Kumar et al. COMPUTERS & MATHEMATICS WITH APPLICATIONS
- Principal interval decomposition framework for POD reduced-order modeling of convective Boussinesq flows
- (2015) O. San et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- Quantitative Big Data: where chemometrics can contribute
- (2015) Harald Martens JOURNAL OF CHEMOMETRICS
- Closed-loop separation control using machine learning
- (2015) N. Gautier et al. JOURNAL OF FLUID MECHANICS
- Towards Optimized Schwarz Methods for the Navier–Stokes Equations
- (2015) Eric Blayo et al. JOURNAL OF SCIENTIFIC COMPUTING
- Nudging, Ensemble, and Nudging Ensembles for Data Assimilation in the Presence of Model Error
- (2015) Lili Lei et al. MONTHLY WEATHER REVIEW
- Human-level control through deep reinforcement learning
- (2015) Volodymyr Mnih et al. NATURE
- Big–deep–smart data in imaging for guiding materials design
- (2015) Sergei V. Kalinin et al. NATURE MATERIALS
- A FETI-DP Type Domain Decomposition Algorithm for Three-Dimensional Incompressible Stokes Equations
- (2015) Xuemin Tu et al. SIAM JOURNAL ON NUMERICAL ANALYSIS
- A Survey of Projection-Based Model Reduction Methods for Parametric Dynamical Systems
- (2015) Peter Benner et al. SIAM REVIEW
- A review of surrogate models and their application to groundwater modeling
- (2015) M. J. Asher et al. WATER RESOURCES RESEARCH
- Model predictive control: Recent developments and future promise
- (2014) David Q. Mayne AUTOMATICA
- Exact coherent structures in an asymptotically reduced description of parallel shear flows
- (2014) Cédric Beaume et al. FLUID DYNAMICS RESEARCH
- Real-time monitoring of thermal processes by reduced-order modeling
- (2014) José V. Aguado et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Asynchronous finite-difference schemes for partial differential equations
- (2014) Diego A. Donzis et al. JOURNAL OF COMPUTATIONAL PHYSICS
- Parallel, non-iterative, multi-physics domain decomposition methods for time-dependent Stokes-Darcy systems
- (2014) Yanzhao Cao et al. MATHEMATICS OF COMPUTATION
- Optimized Schwarz methods for a diffusion problem with discontinuous coefficient
- (2014) Martin J. Gander et al. NUMERICAL ALGORITHMS
- A new analytical model for wind-turbine wakes
- (2014) Majid Bastankhah et al. RENEWABLE ENERGY
- Reinforcement Learning and Wavelet Adapted Vortex Methods for Simulations of Self-propelled Swimmers
- (2014) Mattia Gazzola et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Isogeometric analysis using LR B-splines
- (2013) Kjetil André Johannessen et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- A hybrid atomistic–continuum model for fluid flow using LAMMPS and OpenFOAM
- (2013) Ian A. Cosden et al. COMPUTER PHYSICS COMMUNICATIONS
- Multiphysics simulations
- (2013) David E Keyes et al. INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
- Quadratic Volume-Preserving Maps: (Un)stable Manifolds, Hyperbolic Dynamics, and Vortex-Bubble Bifurcations
- (2013) J. D. Mireles James JOURNAL OF NONLINEAR SCIENCE
- A review of indirect/non-intrusive reduced order modeling of nonlinear geometric structures
- (2013) Marc P. Mignolet et al. JOURNAL OF SOUND AND VIBRATION
- Algorithms for optimization of building design: A review
- (2013) Vasileios Machairas et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- The Interface Control Domain Decomposition (ICDD) Method for Elliptic Problems
- (2013) Marco Discacciati et al. SIAM JOURNAL ON CONTROL AND OPTIMIZATION
- Analysis of Fluid Flows via Spectral Properties of the Koopman Operator
- (2012) Igor Mezić Annual Review of Fluid Mechanics
- Review of surrogate modeling in water resources
- (2012) Saman Razavi et al. WATER RESOURCES RESEARCH
- A Short Review on Model Order Reduction Based on Proper Generalized Decomposition
- (2011) Francisco Chinesta et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Certified reduced basis model validation: A frequentistic uncertainty framework
- (2011) D.B.P. Huynh et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Tree approximation of the long wave radiation parameterization in the NCAR CAM global climate model
- (2011) Alexei Belochitski et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- A Two-Step Certified Reduced Basis Method
- (2011) J. L. Eftang et al. JOURNAL OF SCIENTIFIC COMPUTING
- Anhpcertified reduced basis method for parametrized parabolic partial differential equations
- (2011) Jens L. Eftang et al. MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS
- Efficient reduced models anda posteriorierror estimation for parametrized dynamical systems by offline/online decomposition
- (2011) Bernard Haasdonk et al. MATHEMATICAL AND COMPUTER MODELLING OF DYNAMICAL SYSTEMS
- REDUCED BASIS APPROXIMATION AND A POSTERIORI ERROR ESTIMATION FOR THE PARAMETRIZED UNSTEADY BOUSSINESQ EQUATIONS
- (2011) DAVID J. KNEZEVIC et al. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
- Modeling wake effects in large wind farms in complex terrain: the problem, the methods and the issues
- (2011) E. S. Politis et al. WIND ENERGY
- Accounting for large deformations in real-time simulations of soft tissues based on reduced-order models
- (2010) S. Niroomandi et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- High-fidelity real-time simulation on deployed platforms
- (2010) D.B.P. Huynh et al. COMPUTERS & FLUIDS
- Truly monolithic algebraic multigrid for fluid-structure interaction
- (2010) M. W. Gee et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- On the stability and convergence of a Galerkin reduced order model (ROM) of compressible flow with solid wall and far-field boundary treatment
- (2010) I. Kalashnikova et al. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
- Partitioned iterative solution methods for fluid-structure interaction
- (2010) E. H. van Brummelen INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS
- Reduced order thermal modeling of data centers via proper orthogonal decomposition: a review
- (2010) Emad Samadiani et al. INTERNATIONAL JOURNAL OF NUMERICAL METHODS FOR HEAT & FLUID FLOW
- A seamless hybrid RANS-LES model based on transport equations for the subgrid stresses and elliptic blending
- (2010) Atabak Fadai-Ghotbi et al. PHYSICS OF FLUIDS
- Scalable parallel methods for monolithic coupling in fluid–structure interaction with application to blood flow modeling
- (2009) Andrew T. Barker et al. JOURNAL OF COMPUTATIONAL PHYSICS
- A 3D/1D geometrical multiscale model of cerebral vasculature
- (2009) Tiziano Passerini et al. JOURNAL OF ENGINEERING MATHEMATICS
- A review of the development of hybrid atomistic–continuum methods for dense fluids
- (2009) K. M. Mohamed et al. Microfluidics and Nanofluidics
- Distilling Free-Form Natural Laws from Experimental Data
- (2009) Michael Schmidt et al. SCIENCE
- A Conservative Discontinuous Galerkin Semi-Implicit Formulation for the Navier–Stokes Equations in Nonhydrostatic Mesoscale Modeling
- (2009) Marco Restelli et al. SIAM JOURNAL ON SCIENTIFIC COMPUTING
- Equation-Free Multiscale Computation: Algorithms and Applications
- (2008) Ioannis G. Kevrekidis et al. Annual Review of Physical Chemistry
- Reduced Basis Approximation and a Posteriori Error Estimation for Affinely Parametrized Elliptic Coercive Partial Differential Equations
- (2008) G. Rozza et al. ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
- Fixed-point fluid–structure interaction solvers with dynamic relaxation
- (2008) Ulrich Küttler et al. COMPUTATIONAL MECHANICS
- A hybrid RANS-LES approach with delayed-DES and wall-modelled LES capabilities
- (2008) Mikhail L. Shur et al. INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW
- Dynamical downscaling: Assessment of model system dependent retained and added variability for two different regional climate models
- (2008) Burkhardt Rockel et al. JOURNAL OF GEOPHYSICAL RESEARCH
- Partial Granger causality—Eliminating exogenous inputs and latent variables
- (2008) Shuixia Guo et al. JOURNAL OF NEUROSCIENCE METHODS
- ON THE COUPLING OF 1D AND 3D DIFFUSION-REACTION EQUATIONS: APPLICATION TO TISSUE PERFUSION PROBLEMS
- (2008) C. D'ANGELO et al. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
- Polynomial chaos expansion for sensitivity analysis
- (2008) Thierry Crestaux et al. RELIABILITY ENGINEERING & SYSTEM SAFETY
- A deterministic formulation of the ensemble Kalman filter: an alternative to ensemble square root filters
- (2008) Pavel Sakov et al. TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
- Spectral nudging in a spectral regional climate model
- (2008) Raluca Radu et al. TELLUS SERIES A-DYNAMIC METEOROLOGY AND OCEANOGRAPHY
- Kriging metamodeling in simulation: A review
- (2007) Jack P.C. Kleijnen EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search