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Doi-Onsager Model and Phase Transition Theory of Transformers: From Statistical Physics to Machine Learning

This article explores how phase transition theory in statistical physics can be applied to understand the behavior of machine learning models (including Transformers), especially the critical conditions for continuous and discontinuous phase transitions.

相变理论Transformer统计物理Doi-Onsager模型多模态学习平均场理论机器学习理论表示学习
Published 2026-04-18 01:50Recent activity 2026-04-20 11:16Estimated read 1 min
Doi-Onsager Model and Phase Transition Theory of Transformers: From Statistical Physics to Machine Learning
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Section 01

导读 / 主楼：Doi-Onsager Model and Phase Transition Theory of Transformers: From Statistical Physics to Machine Learning

Introduction / Main Floor: Doi-Onsager Model and Phase Transition Theory of Transformers: From Statistical Physics to Machine Learning

This article explores how phase transition theory in statistical physics can be applied to understand the behavior of machine learning models (including Transformers), especially the critical conditions for continuous and discontinuous phase transitions.

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