A Review of Physics-based Machine Learning in Civil Engineering

A Review of Physics-based Machine Learning in Civil Engineering

9 October 2021

Elizabeth Matthews

Papers citing "A Review of Physics-based Machine Learning in Civil Engineering"

11 / 11 papers shown

Title
Physics-informed KAN PointNet: Deep learning for simultaneous solutions to inverse problems in incompressible flow on numerous irregular geometries Ali Kashefi T. Mukerji 3DPC PINN 42 0 0 08 Apr 2025
A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems Victor Matray Faisal Amlani Frédéric Feyel David Néron AI4CE 18 5 0 03 Jun 2024
Estimating irregular water demands with physics-informed machine learning to inform leakage detection I. Daniel A. Cominola 11 0 0 06 Sep 2023
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity Ali Kashefi Leonidas J. Guibas T. Mukerji PINN 3DPC AI4CE 16 8 0 22 Mar 2023
Physics-Informed Machine Learning: A Survey on Problems, Methods and Applications Zhongkai Hao Songming Liu Yichi Zhang Chengyang Ying Yao Feng Hang Su Jun Zhu PINN AI4CE 8 87 0 15 Nov 2022
Use of BNNM for interference wave solutions of the gBS-like equation and comparison with PINNs S. Vadyala S. N. Betgeri 14 0 0 07 Aug 2022
Wastewater Pipe Rating Model Using Natural Language Processing S. N. Betgeri S. Vadyala John C. Mattews Hongfang Lu 15 1 0 22 Feb 2022
Wastewater Pipe Condition Rating Model Using K- Nearest Neighbors S. N. Betgeri S. Vadyala J. Matthews M. Madadi Greta J. Vladeanu 17 12 0 22 Feb 2022
Machine Learning-based Prediction of Porosity for Concrete Containing Supplementary Cementitious Materials C. Cao 15 30 0 13 Dec 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 197 2,254 0 18 Oct 2020
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods Ferdinando Fioretto Terrence W.K. Mak Pascal Van Hentenryck AI4CE 76 198 0 19 Sep 2019