Hessian-free force-gradient integrators
Kevin Sch\"afers, Jacob Finkenrath, Michael G\"unther, Francesco, Knechtli

TL;DR
This paper introduces Hessian-free force-gradient integrators that avoid computing the Hessian, making them efficient for complex Hamiltonian systems like molecular dynamics and lattice QCD simulations.
Contribution
The paper presents a novel class of integrators for Hamiltonian systems that do not require Hessian evaluations, reducing computational cost in certain applications.
Findings
Effective in molecular dynamics simulations
Applicable to lattice QCD and Schwinger model
Verified through numerical experiments on N-body problems
Abstract
We propose a new framework of Hessian-free force-gradient integrators that do not require the analytical expression of the force-gradient term based on the Hessian of the potential. Due to that the new class of decomposition algorithms for separable Hamiltonian systems with quadratic kinetic energy may be particularly useful when applied to Hamiltonian systems where an evaluation of the Hessian is significantly more expensive than an evaluation of its gradient, e.g. in molecular dynamics simulations of classical systems. Numerical experiments of an N-body problem, as well as applications to the molecular dynamics step in the Hybrid Monte Carlo (HMC) algorithm for lattice simulations of the Schwinger model and Quantum Chromodynamics (QCD) verify these expectations.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIterative Learning Control Systems · Control and Stability of Dynamical Systems · Cardiomyopathy and Myosin Studies
