https://github.com/fernandezfran/dbfit

Evaluation of the predictions of non-interacting model fitting when fitted with data that takes into account ion interactions

https://github.com/fernandezfran/dbfit

Science Score: 13.0%

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Evaluation of the predictions of non-interacting model fitting when fitted with data that takes into account ion interactions

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Created about 2 years ago · Last pushed over 1 year ago
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README.md

Repository description

This repository uses the LiionDB SQL database with an extensive catalog of reported battery parameters in scalar, array, and functional forms. Particle sizes, isotherms, and diffusion coefficients are extracted from this database using an SQL query to merge these parameters when they come from the same work. Data cleaning is performed to obtain these parameters in the required form to fit with a previously developed heuristic model. All this is done using the galpynostatic package along with other Python libraries of the data science stack.

Owner

  • Name: Francisco Fernandez
  • Login: fernandezfran
  • Kind: user
  • Location: Córdoba, Argentina
  • Company: FAMAF, UNC

Computational Physicist

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