Discovering conservation laws from data for control

Discovering conservation laws from data for control

2 November 2018

Steven L. Brunton

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Papers citing "Discovering conservation laws from data for control"

15 / 15 papers shown

Title
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 160 2 0 30 Mar 2025
Data-Driven Discovery of Conservation Laws from Trajectories via Neural Deflation Shaoxuan Chen Panayotis G. Kevrekidis Hong-Kun Zhang Wei Zhu PINN 54 1 0 07 Oct 2024
Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law Jingdong Zhang Qunxi Zhu Wei Lin 63 8 0 04 Jun 2024
Discovering New Interpretable Conservation Laws as Sparse Invariants Ziming Liu Patrick Obin Sturm Saketh Bharadwaj Sam Silva M. Tegmark 39 5 0 31 May 2023
Benchmarking sparse system identification with low-dimensional chaos A. Kaptanoglu Lanyue Zhang Zachary G. Nicolaou Urban Fasel Steven L. Brunton 98 24 0 04 Feb 2023
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 82 18 0 31 Aug 2022
Applying Machine Learning to Study Fluid Mechanics Steven L. Brunton PINN AI4CE 58 99 0 05 Oct 2021
Weak Form Generalized Hamiltonian Learning Kevin Course Trefor W. Evans P. Nair AI4CE 56 10 0 11 Apr 2021
Deep Learning of Conjugate Mappings J. Bramburger S. Patterson J. Nathan Kutz 75 15 0 01 Apr 2021
Discovering conservation laws from trajectories via machine learning Seungwoong Ha Hawoong Jeong PINN AI4CE 60 10 0 08 Feb 2021
Data-driven model reduction of agent-based systems using the Koopman generator Jan-Hendrik Niemann Stefan Klus Christof Schütte 42 10 0 14 Dec 2020
Sparse Symplectically Integrated Neural Networks Daniel M. DiPietro S. Xiong Bo Zhu 88 31 0 10 Jun 2020
Sparse Identification of Slow Timescale Dynamics J. Bramburger D. Dylewsky J. Nathan Kutz 43 18 0 01 Jun 2020
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control Stefan Klus Feliks Nuske Sebastian Peitz Jan-Hendrik Niemann C. Clementi Christof Schütte 111 229 0 23 Sep 2019
Data-driven Modelling of Dynamical Systems Using Tree Adjoining Grammar and Genetic Programming Dhruv Khandelwal Maarten Schoukens R. Tóth 24 6 0 05 Apr 2019