Author of the publication

Composing Partial Differential Equations with Physics-Aware Neural Networks

, , , , , and . Proceedings of the 39th International Conference on Machine Learning, Baltimore, USA, (16--23 Jul 2022)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Reliability Analysis with Stratified Importance Sampling Based on Adaptive Kriging, , and . Reliability Engineering & System Safety, (2020)Surrogate-based Bayesian comparison of computationally expensive models : application to microbially induced calcite precipitation, , , , , , and . Computational geosciences, 25 (6): 1899-1917 (2021)Stability criteria for Bayesian calibration of reservoir sedimentation models, , , , , , and . Modeling earth systems and environment, (2023)Data-driven surrogate-based Bayesian model calibration for predicting vadose zone temperatures in drinking water supply pipes, , , , and . Geophys. Res. Abstr., 25, EGU2024-7820, EGU General Assembly 2024, (April 2024)Probabilistic Assessment of Above Zone Pressure Predictions at a Geologic Carbon Storage Site, , , , and . Scientific reports, (2016)Physics-Informed Machine Learning in Hydrology II Oral, , and . American Geophysical Union, Fall Meeting 2021, page H34F. American Geophysical Union, (2021)Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario, , , , , , , , , and 1 other author(s). Computational geosciences, (2019)Data-driven surrogates for rapid simulation and optimization of WAG injection in fractured carbonate reservoirs, , , and . Petroleum geoscience, 23 (2): 270-283 (2017)The sparse Polynomial Chaos expansion: a fully Bayesian approach with joint priors on the coefficients and global selection of terms, , , and . Journal of Computational Physics, (2023)Improving Thermochemical Energy Storage Dynamics Forecast with Physics-Inspired Neural Network Architecture, , , and . Energies, 13 (15): 3873 (2020)