https://github.com/itstorque/espressosimulations.jl

https://github.com/itstorque/espressosimulations.jl

Last synced: 4 months ago
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• Host: GitHub
• URL: https://github.com/itstorque/espressosimulations.jl
• Owner: itstorque
• License: mit
• Created: 2024-08-22T18:36:51.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2024-11-12T07:13:59.000Z (over 1 year ago)
• Last Synced: 2025-03-10T08:48:25.011Z (over 1 year ago)
• Language: Julia
• Size: 215 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# EspressoSimulations

[![Build Status](https://github.com/itstorque/EspressoSimulations.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/itstorque/EspressoSimulations.jl/actions/workflows/CI.yml?query=branch%3Amain)



A multi-scale homogenized advection diffusion model of espresso extraction based on [1] running in Julia's DifferentialEquations.jl [2].

# References

[1] [Systematically Improving Espresso: Insights from Mathematical Modeling and Experiment](https://www.cell.com/matter/fulltext/S2590-2385(19)30410-2)

[2] [Differentialequations.jl--a performant and feature-rich ecosystem for solving differential equations in julia](https://github.com/SciML/DifferentialEquations.jl)

[3] [Systematically improving espresso - Manuscript](https://pure.hud.ac.uk/ws/portalfiles/portal/18815501/Manuscript.pdf)

[4] [Efficient Conservative Numerical Schemes for 1D Nonlinear Spherical Diffusion Equations with Applications in Battery Modeling, Zeng et al.](https://dspace.mit.edu/bitstream/handle/1721.1/91234/Bazant_Efficient%20conservative.pdf?sequence=1&isAllowed=y)