Giter Club home page Giter Club logo

Comments (3)

leehangyue avatar leehangyue commented on July 20, 2024

Thanks for your interest!

  • EISART uses an open-loop method to determine the distribution of lambda, in order to balance between DRT variation and resolution. If "Auto Lambda" is checked, lambda increases from the set value where EIS fitting residuals are larger. If "Auto Lambda" is not checked, lambda is a user-specified constant.

  • "Auto Lambda" does not change the overall lambda, but changes the distribution of lambda over relaxation time, hence the value of lambda is not unique. You may add a break point in debug mode on line 831 in util_tikhonov.py to inspect the values of lambda (lmd_vector).

  • Because the user-specified set value of lambda is the starting point of auto adjustments.

If you have any further question, please feel free to leave another comment ;-)

from eisart.

jianzuo avatar jianzuo commented on July 20, 2024

Hi,
Thank you very much for the explanation, it is clear now, I will try to explore more based on this.
Recently, I am using your tool in my work, I am trying to put together a couple of questions (may related to better understanding the use of this tool), and I will leave them in the next issue discussion.
Thanks again for your time!

from eisart.

jianzuo avatar jianzuo commented on July 20, 2024

Currently, I am more interested in the DRT results (the time constant and polarization resistance from measured EIS spectra).

  • I also tried the well-known DRTtools from Ciuccis et al. Does EISart share similar regularization method for calculating DRT?
  • In EISart, if the auto lambda if not selected in the GUI, it seems the regularization part only has one, i.e. lambda parameter to be tuned? While in DRTtools, there is, for example, FWHM coefficient to be tuned.
  • Can you give some hints on what are the important parameters to be tunned when compute DRT from measured EIS?
    Thank you very much!

from eisart.

Related Issues (2)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo 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.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.