Jian Zu

collaborators

3 papers

cs.LG2026

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data

Ru Geng, Panayotis Kevrekidis, Yixian Gao +2

Lattice Hamiltonian systems underpin models across condensed matter, nonlinear optics, and biophysics, yet learning their dynamics from data is obstructed by two unknowns: the inte…

hep-lat2024

Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning

Ru Geng, Yixian Gao, Jian Zu +1

A deep understanding of the intricate interactions between particles within a system is a key approach to revealing the essential characteristics of the system, whether it is an in…

math.DS2024

$I^\pm$ -SGHN: A Robust Model for Learning Particle Interactions in Lattice Systems

Yixian Gao, Ru Geng, Panayotis Kevrekidis +2

We propose an $I^\pm$ -separable graph Hamiltonian network ( $I^\pm$ -SGHN) that reveals complex interaction patterns between particles in lattice systems. Utilizing trajectory data, $I^\pm$ -S…

Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory data

Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning

I^±-SGHN: A Robust Model for Learning Particle Interactions in Lattice Systems

$I^\pm$ -SGHN: A Robust Model for Learning Particle Interactions in Lattice Systems