Comments (1)
Before running a simulation, following check should be included:
- check the conistency between the last entries in the
root.input.solver.sections.section_times
androot.input.solver.user_solution_times
. Any inconsistency between these two values can result in a failing simulation.
This should be included in the CADET core
from cadet.
Related Issues (20)
- Simulate correct mass transport for log transformed concentrations
- Change the Text in "About" in the Repository
- Allow for piecewise cubic polynomial specification of flowrate filter
- Add DG to createLWE
- Add particle diffusion liquid state parameter dependency
- Failing Test for CSTR HOT 3
- Improve parameter dependence documentation
- Add 2D flow models with DG discretization
- Add an exchange module for the MCT HOT 2
- Translate documentation to markdown
- Fix and expand tests part II
- Create a new exchange modul.
- Add the linear exchange to the MCT model.
- Make DG the new default discretization
- Investigate GRM_FV edge cases
- Restructure test tools
- Add option to specify `CROSS_SECTION_AREA` in 2DGRM HOT 1
- Non-reproducable CI results HOT 1
- Update parameter dependency documentation
- Add release guide to dev guide HOT 1
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from cadet.