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    Kamaljyoti Nath

    Kamaljyoti Nath

    Postdoctoral Research Associate,
    Division of Applied Mathematics,
    Brown University

    • Providence, USA
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    Cite Article

    @article{Nath_2026_PINN_Engine,
      author = {Kamaljyoti Nath and Varun Kumar and Daniel J. Smith and George Em Karniadakis},
      title = {A digital twin for diesel engines: Operator-infused physics-informed neural networks with transfer learning for engine health monitoring},
      journal = {Engineering Applications of Artificial Intelligence},
      volume = {170},
      pages = {114052},
      year = {2026},
      issn = {0952-1976},
      doi = {https://doi.org/10.1016/j.engappai.2026.114052},
      url = {https://www.sciencedirect.com/science/article/pii/S0952197626003337},
      keywords = {Deep operator network, Inverse problem, Transfer learning, Few shot learning, Digital twin, System-of-systems}
    }
    

    Cite Article

    @article{Mariappan_2024_PINN,
      author = {Sathesh Mariappan and Kamaljyoti Nath and George Em Karniadakis},
      title = {Learning thermoacoustic interactions in combustors using a physics-informed neural network},
      journal = {Engineering Applications of Artificial Intelligence},
      volume = {138},
      pages = {109388},
      year = {2024},
      issn = {0952-1976},
      doi = {https://doi.org/10.1016/j.engappai.2024.109388},
      url = {https://www.sciencedirect.com/science/article/pii/S095219762401546X}
    }
    

    Cite Article

    @article{Felipe_2024_PINN,
      author = {Felipe de Castro Teixeira Carvalho and Kamaljyoti Nath and Alberto Luiz Serpa and George Em Karniadakis},
      title = {Learning characteristic parameters and dynamics of centrifugal pumps under multiphase flow using physics-informed neural networks},
      journal = {Engineering Applications of Artificial Intelligence},
      volume = {138},
      pages = {109378},
      year = {2024},
      issn = {0952-1976},
      doi = {https://doi.org/10.1016/j.engappai.2024.109378},
      url = {https://www.sciencedirect.com/science/article/pii/S0952197624015367},
      keywords = {Electrical submersible pump, Physics-informed neural networks, Parameters estimation, Identifiability analysis, Multiphase flow, Digital twin}
    }   
    

    Cite Article

    @article{Liu_2022_Causality,
      author = {Liu , Lizuo and Nath , Kamaljyoti and Cai , Wei},
      title = {A Causality-DeepONet for Causal Responses of Linear Dynamical Systems},
      journal = {Communications in Computational Physics},
      year = {2024},
      volume = {35},
      number = {5},
      pages = {1194--1228},
      issn = {1991-7120},
      doi = {https://doi.org/10.4208/cicp.OA-2023-0078},
      url = {http://global-sci.org/intro/article_detail/cicp/23189.html}
    }  
        

    Cite Article

    @article{Nath_2023,
      title   = {Physics-informed neural networks for predicting gas flow dynamics and unknown parameters in diesel engines},
      author  = {Nath, Kamaljyoti and Meng, Xuhui and Smith, Daniel J. and Karniadakis, George Em},
      journal = {Scientific Reports},
      year    = {2023},
      volume  = {13},
      pages   = {13683},
      doi     = {10.1038/s41598-023-39989-4}	
    }
          

    Cite Article

    @article{Nath_2022_Ad_KL,
      title={An adaptive scheme for random field discretization using KL expansion},
      author={Nath, Kamaljyoti and Dutta, Anjan and Hazra, Budhaditya},
      journal={Engineering with Computers},
      pages={2937–2954},
      year={2022},
      publisher={Springer},
      doi = {https://doi.org/10.1007/s00366-021-01326-6}
    }
    

    Cite Article

    @article{Nath_2021_IPDD,
      author = {Kamaljyoti Nath and Anjan Dutta and Budhaditya Hazra},
      title = {Iterative Polynomial Dimensional Decomposition approach towards solution of structural mechanics problems with material randomness},
      journal = {Probabilistic Engineering Mechanics},
      volume = {66},
      pages = {103159},
      year = {2021},
      issn = {0266-8920},
      doi = {https://doi.org/10.1016/j.probengmech.2021.103159},
      url = {https://www.sciencedirect.com/science/article/pii/S0266892021000436},
      keywords = {Stochastic Finite Element Method, Karhunen–Loève expansion, Polynomial Chaos expansion, Polynomial Dimensional Decomposition, Iterative Polynomial Chaos}
    }
    

    Cite Article

    @article{Nath_2020_TDgPC,
      author = {Kamaljyoti Nath and Anjan Dutta and Budhaditya Hazra},
      title = {Long duration response evaluation of linear structural system with random system properties using time dependent polynomial chaos},
      journal = {Journal of Computational Physics},
      volume = {418},
      pages = {109596},
      year = {2020},
      issn = {0021-9991},
      doi = {https://doi.org/10.1016/j.jcp.2020.109596},
      url = {https://www.sciencedirect.com/science/article/pii/S0021999120303703},
      keywords = {Stochastic finite element method, Karhunen-Loève expansion, Polynomial chaos expansion, Stochastic dynamics, Time dependent generalized polynomial chaos}
     }
          

    Cite Article

    @article{Nath_2019_IPC_Non_Gauss,
      author = {Nath, Kamaljyoti and Dutta, Anjan and Hazra, Budhaditya},
      title = {An iterative polynomial chaos approach toward stochastic elastostatic structural analysis with non-Gaussian randomness},
      journal = {International Journal for Numerical Methods in Engineering},
      year = {2019},
      volume = {119},
      number = {11},
      pages = {1126-1160},
      keywords = {independent component analysis, Karhunen-Loève expansion, non-Gaussian material property, orthogonal expansion, polynomial chaos expansion},
      doi = {https://doi.org/10.1002/nme.6086},
      url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/nme.6086},
      eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.1002/nme.6086}
    }
          

    Cite Article

    @article{Nath_2019_IPC_Gauss,
      title = {An iterative polynomial chaos approach for solution of structural mechanics problem with Gaussian material property},
      journal = {Journal of Computational Physics},
      volume = {390},
      pages = {425-451},
      year = {2019},
      issn = {0021-9991},
      doi = {https://doi.org/10.1016/j.jcp.2019.04.014},
      url = {https://www.sciencedirect.com/science/article/pii/S0021999119302475},
      author = {Kamaljyoti Nath and Anjan Dutta and Budhaditya Hazra},
      keywords = {Stochastic Finite Element Method, Karhunen-Loève expansion, Polynomial Chaos expansion}
    }
          

    Cite Chapter

    @incollection{Nath_2021_SFEM_Chapter,
      author={Nath, Kamaljyoti and Dutta, Anjan and Hazra, Budhaditya},
      title={Stochastic Finite Element Method},
      booktitle={Reliability-Based Analysis and Design of Structures and Infrastructure},
      editor = {Ehsan {Noroozinejad Farsangi} and Mohammad Noori and Paolo Gardoni and Izuru Takewaki and Humberto Varum and Aleksandra Bogdanovic},  
      pages={101--116},
      year={2021},
      edition = {1st},
      publisher={CRC Press}
    }
          
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