GithubHelp home page GithubHelp logo

entropy calculation about pymatnext HOT 6 CLOSED

bernstei avatar bernstei commented on September 15, 2024
entropy calculation

from pymatnext.

Comments (6)

bernstei avatar bernstei commented on September 15, 2024

@liviabp I can't find any trace of a PR or commit that fixes the entropy in the old implementation. Can you remind me what we ended up doing about the issue you noticed?

from pymatnext.

liviabp avatar liviabp commented on September 15, 2024

The link to the slack archive doesn't work for me, so can you remind me which discussion you refer to? (Or do you mean my problems with the total free energy about a month ago?)

from pymatnext.

bernstei avatar bernstei commented on September 15, 2024

Weird about slack. Yes, I think it's that one.

Screen Shot 2023-04-11 at 7 00 10 PM

But I know we went back and forth a few times, and I couldn't remember what we settled on as the correct fix.

from pymatnext.

liviabp avatar liviabp commented on September 15, 2024

I think we haven't settled on a fix yet... I was not entirely convinced about all the terms in ns_analyse, but some of my initial arguments were wrong, so I promised to do my derivation again and see if I find the issue (either in the code or in my thinking). I'll share the overleaf with you where I have it started it.

from pymatnext.

bernstei avatar bernstei commented on September 15, 2024

I created #8 to make the new code be like the fixed old code I posted to the slack. I'm not sure what I was thinking before, but it appears that if I just use F = log(Z) + E_min, making sure that Z is correctly unshifted, F(T->0) = U(T=0) + P V(0). I'm honestly not sure why I went to the trouble of the previous code. As I said in the overleaf, I think I was worried about the possibility of constant factor in Z, and it was an (incorrect) attempt to account for it.

from pymatnext.

bernstei avatar bernstei commented on September 15, 2024

And another comment on the overleaf, at the end

from pymatnext.

Related Issues (9)

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.