FLARE: Flow Matching with Local Axis-Angle Representations for Stochastic Micromagnetic Evolution

arXiv:2609.34070 · cs.LG, cond-mat.mes-hall, cs.AI · Submitted 2026-09-28 · Read on arXiv

cs.LG, cond-mat.mes-hall, cs.AI

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Angular Error — 48× in this paper · explained in 1 episode
• Flow Matching — 18× in this paper · explained in 8 episodes
• Fidelity — 10× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Core — 7× in this paper · explained in 2 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Adaptation — 6× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Diffusion Model — 6× in this paper · explained in 8 episodes
• Generative Modeling — 6× in this paper · explained in 3 episodes
• Generative Model — 5× in this paper · explained in 2 episodes
• Decode — 4× in this paper · explained in 2 episodes
• Diffusion Models — 4× in this paper · explained in 6 episodes
• Generative Models — 4× in this paper · explained in 3 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Amortization — 2× in this paper · explained in 1 episode
• Iterative Refinement — 2× in this paper · explained in 3 episodes
• Neural Surrogates — 2× in this paper · explained in 2 episodes
• Optimal Transport — 2× in this paper · explained in 5 episodes
• Stochastic Dynamics — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Zero-Shot Generalization — 2× in this paper · explained in 5 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Active Learning — 1× in this paper · explained in 6 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Anisotropy — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• DeepONet — 1× in this paper · explained in 2 episodes
• Diffusion Processes — 1× in this paper · explained in 2 episodes
• Domain Walls — 1× in this paper · explained in 2 episodes
• Dynamical regimes — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Inverse Design — 1× in this paper · explained in 2 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Latent Dynamics — 1× in this paper · explained in 2 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Self-consistency — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes
• Zero-Shot Transfer — 1× in this paper · explained in 4 episodes

Sources

• MagneX: A High-Performance, GPU-Enabled, Data-Driven Micromagnetics Solver for Spintronics
• Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
• Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity

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