Deep Learning of Phase Transitions for Bilinear-Biquadratic Spin-1 Chains from Correlation Aspects

arXiv:2610.19995 · cond-mat.dis-nn, cond-mat.other, cond-mat.str-el · Submitted 2026-10-14 · Read on arXiv

cond-mat.dis-nn, cond-mat.other, cond-mat.str-el

Submitted: 2026-10-14

Updated: 2026-10-14

Comments: 20 pages, 24 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Phase Transition — 1× in this paper · explained in 2 episodes
• Phase Transitions — 1× in this paper · explained in 2 episodes

Related papers

• Probing critical phases in quasiperiodic systems via subsystem information capacity
• Few-Shot Neuromorphic Vision in a Nonlinear Photonic Network Laser
• Hyperbolic lattices with mass disorder: Phases and phase transitions
• Non-Markovian dephasing of disordered, quasi-one-dimensional fermion systems
• Adaptive Neural Quantum States: A Recurrent Neural Network Perspective
• Machine learning Majorana topology using unsupervised and supervised learning