2 papers
cs.RO2025
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
Pravin Pandey, Julia Reuter, Christoph Steup +1
This paper shows how a Graph Neural Network (GNN) can be used to learn an Inverse Kinematics (IK) based on an automatically generated dataset. The generated Inverse Kinematics is g…
cond-mat.str-el2005
Thermodynamics of S>=1 ferromagnetic Heisenberg chains with uniaxial single-ion anisotropy
I. Juhász Junger, D. Ihle, J. Richter
The thermodynamic properties of S>=1 ferromagnetic chains with an easy-axis single-ion anisotropy are investigated at arbitrary temperatures by both a Green-function approach, base…