Optimal Regularization in Distribution of Relaxation Times applied to Electrochemical Impedance Spectroscopy: Ridge and Lasso Regression Methods - A Theoretical and Experimental Study

By M. Saccoccio, T. Wan, Chi Chen, F. Ciucci. 2014

332 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Mechanical Engineering, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/00fff4c7d71552cad2fd7a1f35a06ee6ea264ce8

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Jiapeng Liu
2. T. Wan
3. F. Ciucci

In Mechanical Engineering

1. Jiapeng Liu
2. F. Ciucci
3. T. Wan

In Mechanics of Materials

1. F. Ciucci

Citations in the corpus

• A Bayesian view on the Hilbert transform and the Kramers-Kronig transform of electrochemical impedance data: Probabilistic estimates and quality scores (2020, methodology): “[1] EIS has been used widely in the fields of energy storage, [2, 3] solid-state ionics,[4, 5] fuel cells,[6, 7] electrolyzers,[8] solar cells,[9, 10] porous media,[11] sensors,[12] biology,[13] virological diagnostics,[14] and medicine.”