Daniel M. Tartakovsky
Stanford University
H-index: 52
North America-United States
Top articles of Daniel M. Tartakovsky
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Dynamic Mode Decomposition accelerates uncertainty quantification via Polynomial Chaos Expansion | V Ciriello G Libero DM Tartakovsky | 2024 | |
Contaminant Source Identification via Transfer Learning on Multifidelity-Data. | Alessia Chiofalo Valentina Ciriello Daniel M Tartakovsky | 2024/3/7 | |
Polynomial chaos enhanced by dynamic mode decomposition for order-reduction of dynamic models | Advances in Water Resources | G Libero DM Tartakovsky V Ciriello | 2024/4/1 |
GeoThermalCloud: Cloud Fusion of Big Data and Multi-Physics Models using Machine Learning for Discovery, Exploration, and Development of Hidden Geothermal Resources | Luke Philip Frash Bulbul Ahmmed Maruti K Mudunuru Daniel M Tartakovsky | 2024/2/4 | |
Neural oscillators for generalization of physics-informed machine learning | Proceedings of the AAAI Conference on Artificial Intelligence | Taniya Kapoor Abhishek Chandra Daniel M Tartakovsky Hongrui Wang Alfredo Nunez | 2024/3/24 |
Transfer learning for inversion of multi-fidelity data in subsurface hydrology | Alessia Chiofalo Valentina Ciriello Daniel M Tartakovsky | 2024 | |
Liouville models of particle-laden flow | arXiv preprint arXiv:2403.04913 | Daniel Domínguez-Vázquez Gustaaf B Jacobs Daniel M Tartakovsky | 2024/3/7 |
Surrogate models of heat transfer in fractured rock and their use in parameter estimation | Computers & Geosciences | Guofeng Song Delphine Roubinet Xiaoguang Wang Gensheng Li Xianzhi Song | 2024/1/1 |
Use of Dynamic Mode Decomposition for the reconstruction of contaminant release history | Valentina Ciriello Giulia Libero Daniel M Tartakovsky | 2024/3/7 | |
Data-driven models of nonautonomous systems | Journal of Computational Physics | Hannah Lu Daniel M Tartakovsky | 2024/3/29 |
Dynamic Mode Decomposition for source identification | G Libero DM Tartakovsky V Ciriello | 2024 | |
Dynamic Mode Decomposition enables decoding dominant spatiotemporal structures in global scale hydrological datasets | Giulia Libero Daniel M Tartakovsky Valentina Ciriello | 2024/3/7 | |
Efficient quadratures for high-dimensional Bayesian data assimilation | Journal of Computational Physics | Ming Cheng Peng Wang Daniel M Tartakovsky | 2024/6/1 |
Neural oscillators for magnetic hysteresis modeling | arXiv preprint arXiv:2308.12002 | Abhishek Chandra Taniya Kapoor Bram Daniels Mitrofan Curti Koen Tiels | 2023/8/23 |
Neural oscillators for generalizing parametric PDEs | Taniya Kapoor Abhishek Chandra Daniel Tartakovsky Hongrui Wang Alfredo Núñez | 2023/10/31 | |
Hypertonic treatment of acute respiratory distress syndrome | Frontiers in Bioengineering and Biotechnology | Weiyu Li Judith Martini Marcos Intaglietta Daniel M Tartakovsky | 2023 |
Discovering Sparse Hysteresis Models for Piezoelectric Materials: A Data-Driven Study and Perspectives into Modelling Magnetic Hysteresis | arXiv e-prints | Abhishek Chandra Bram Daniels Mitrofan Curti Koen Tiels Elena A Lomonova | 2023/2 |
Probabilistic forecasting of cumulative production of reservoir fluid with uncertain properties | Geoenergy Science and Engineering | Lívia Paiva Fulchignoni Christiano Garcia da Silva Santim Daniel M Tartakovsky | 2023/8/1 |
Impact of the Optimization Procedure on the Equation of State Regression | Lívia Paiva Fulchignoni Daniel M Tartakovsky | 2023/10/17 | |
Polymer Fluids Potential in Geothermal Systems | Alessandro Lenci Yves Méheust Daniel M Tartakovsky Vittorio Di Federico | 2023/12/11 |
Co-Authors
