A data-driven approach for discovering the most probable transition pathway for a stochastic carbon cycle system

DOI10.1063/5.0116643MaRDI QIDQ6570825

Jianyu Chen, Jinqiao Duan, Jianyu Hu, Wei Wei

Publication date: 10 July 2024

Published in: Chaos (Search for Journal in Brave)

Mathematics Subject Classification ID

Dynamical systems and ergodic theory (37-XX) Ordinary differential equations (34-XX)

Cites Work

• Title not available (Why is that?)
• The Onsager-Machlup function for diffusion processes
• Onsager-Machlup functional for some smooth norms on Wiener space
• Physics-informed neural networks: a deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
• Transition pathways for a class of high dimensional stochastic dynamical systems with Lévy noise
• Characteristic disruptions of an excitable carbon cycle
• Riemannian geometry and geometric analysis

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