Stiff neural ordinary differential equations

Stiff neural ordinary differential equations

Neural Ordinary Differential Equations (ODE) are a promising approach to learn dynamic models from time-series data in science and engineering applications. This work aims at learning Neural ODE for stiff systems, which are usually raised from chemical kinetic modeling in chemical and biological...

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Bibliographic Details
Main Authors: Kim, Suyong, Ji, Weiqi, Deng, Sili, Ma, Yingbo, Rackauckas, Christopher
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering
Format: Article
Language:English
Published: AIP Publishing 2021
Online Access:https://hdl.handle.net/1721.1/138719

Internet

https://hdl.handle.net/1721.1/138719

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