LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
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Updated
Jan 1, 2025 - Jupyter Notebook
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite
Calculates the dynamic equations of motion of a N DOF robot arm using the Lagrangian formulation.
An improved implementation of my CASA 2013 paper "Real‐time generation of smoothed‐particle hydrodynamics‐based special effects in character animation" (https://onlinelibrary.wiley.com/doi/abs/10.1002/cav.1545). Particle emissions from the surface of mesh. The emitters are approximatively uniformly distributed by taking the advantage of quad tes…
Clara Bayley et al.'s version of the superdroplet model. CLEO is named after Cleopatra VII Thea Philopator as well as a tribute to the anonymous mathematician.
Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"
[TMLR 2026] GIOROM, sampling based model-order reduction for Lagrangian systems
Collocation methods for trajectory optimization for second or higher order systems.
Underactuated double-pendulum (acrobot) on a cart to play with direct optimal control methods
kinematics, newton-euler dynamics and centralized/decentralized control of a KUKA robotic gripper -- up next safe reinforcement learning with optimistic exploration instead of trajectory planning. 2019
The Structure and Interpretation of Classical Mechanics
Learn Hamiltonian from Trajectory & Lagrangian Correspondence from in-out data
Maple document on the single and double pendulum (planar), with Newtonian and Lagrangian
A scientific double pendulum simulator using Lagrangian mechanics and RK4, with graphs showing dynamics and energy 🍎
A compact JAX implementation of a structured Lagrangian neural network for parameter-varying double pendula, using FiLM conditioning to help the kinetic model generalize across different masses and link lengths.
An application of Euler-Lagrange formula: Cart Pendulum Spring System on Inclined Plane
This repository contains the codes used to reconstruct SMAP Sea Surface Salinity observations in the Gulf Stream. The paper can be found here:
MATLAB code 30.104 Dynamics module. The 1D project is included as well, which models after a bridge for up to four masses using the Lagrangian approach.
Physics-guided generative dynamics models combining Lagrangian Neural Networks and flow matching for stable long-horizon prediction and uncertainty analysis in continuous control.
Theoretical project regarding hamiltonian and lagrangian neural network
A physically reasonable representation of soccer juggling with Lagrangian dynamics, with a custom feedback control system.
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