Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World Simulations

Deep Learning Approaches to Surrogates for Solving the Diffusion Equation for Mechanistic Real-World Simulations

In many mechanistic medical, biological, physical, and engineered spatiotemporal dynamic models the numerical solution of partial differential equations (PDEs), especially for diffusion, fluid flow and mechanical relaxation, can make simulations impractically slow. Biological models of tissues and o...

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Bibliographic Details
Main Authors: J. Quetzalcóatl Toledo-Marín, Geoffrey Fox, James P. Sluka, James A. Glazier
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-06-01
Series:Frontiers in Physiology
Subjects:
diffusion surrogate
machine learning
virtual tissue
mechanistic modeling
Julia
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.667828/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2021.667828/full

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