 
    Afsal Pulikkathodi
                                    14 
                                    
                            Documents
                                Publications
Publications
|  | A multi-scale computational strategy for fast transient problems with a physics-guided neural-network local modeling26e Congrès Français de Mécanique, Laboratoire d'Etude des Microstructures et de Mécanique des Matériaux (LEM3 - UMR CNRS 7239), Aug 2025, Metz, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-05312873
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|  | Non-Intrusive Coupling of Neural Network-Based Local Models to Explicit Dynamics Solvers16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-04611006
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|  | Non-intrusive coupling of neural network-based local model and explicit dynamics16ème Colloque National en Calcul de Structures (CSMA 2024), CNRS; CSMA; ENS Paris-Saclay; CentraleSupélec, May 2024, Hyères, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-04431982
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| A data-driven approach for the real-time modelling of spot-welded patches under impact using deep learning6th International Workshop on Model Reduction Techniques, Nov 2023, Paris-Saclay, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-04425553
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| Non-Intrusive Coupling of Neural Network-Based Local Model and Explicit Dynamics Scheme: Application to Spot-Welded Plates under Impact2nd IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology, Sep 2023, El Paso, Texas, United StatesCommunication dans un congrès
                    
        
        
            
                
                    hal-04228400
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| A data-driven approach using Neural Networks for real-time modeling and simulation of structures with many welded points under impactInternational Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, Jun 2023, Athens, GreeceCommunication dans un congrès
                    
        
        
            
                
                    hal-04228349
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| A data-driven approach for the real-time modelling of spot-welded patches under impact using deep learning20th International Conference on Numerical Analysis and Applied Mathematics, 2022, Heraklion (Crete Island), GreeceCommunication dans un congrès
                    
        
        
            
                
                    hal-04424534
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|  | A data-driven approach for the real-time modeling of spot-welded patches under impact using Deep Learning25éme congrès français de mécanique, Aug 2022, Nantes, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-03825830
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| A data-driven approach using Neural Network for real-time modeling of spot welded patches under impactIUTAM Symposium on Data-driven Mechanics, Oct 2022, Paris, FranceCommunication dans un congrès
                    
        
        
            
                
                    hal-03825839
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| Real-time tracking of crack propagation in active structuresXXVII Conference on Computer Methods in Materials Technology, Mar 2021, Kraków, PolandCommunication dans un congrès
                    
        
        
            
                
                    hal-03825749
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|  | Non-intrusive local/global coupling with local deep learning-based models for the effective simulation of spotwelded structures under impactInternational Journal for Numerical Methods in Engineering, 2025, 126 (14), pp.e70086. ⟨10.1002/nme.70086⟩Article dans une revue
                    
        
        
            
                
                    hal-05141404
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| Real-time inverse crack tracking in uncertain microstructures using PGD-based model reduction and extended Kalman filteringComputational Mechanics, 2023, 71, pp.311-332. ⟨10.1007/s00466-022-02240-4⟩Article dans une revue
                    
        
        
            
                
                    hal-03834687
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|  | A neural network-based data-driven local modeling of spotwelded plates under impactMechanics & Industry, 2023, 24, pp.34. ⟨10.1051/meca/2023029⟩Article dans une revue
                    
        
        
            
                
                    hal-04190457
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|  | Scientific machine learning and physics-augmented neural networks for hybrid digital twinsJournée du GDR I-GAIA, 2023, Paris, FrancePoster de conférence
                    
        
        
            
                
                    hal-04425617
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