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7 results in Authors: Adeleke Maradesa

Energy

Working Paper

Deconvolution of Electrochemical Impedance Spectroscopy Data Using the Deep-Neural-Network-Enhanced Distribution of Relaxation Times

Emanuele Quattrocchi, Baptiste Py, Adeleke Maradesa, Quentin Meyer, Chuan Zhao, Francesco Ciucci

Version 1 posted 26 July 2022

519

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Energy

Working Paper

Selecting the Regularization Parameter in the Distribution of Relaxation Times

Adeleke Maradesa, Baptiste Py, Ting Hei Wan, Mohammed B. Effat, Francesco Ciucci

Version 1 posted 14 November 2022

772

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Energy

Working Paper

Gaussian Processes for the Analysis of Electrochemical Impedance Spectroscopy Data: Prediction, Filtering, and Active Learning

Baptiste Py, Adeleke Maradesa, Francesco Ciucci

Version 1 posted 06 July 2022

560

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Energy

Working Paper

Battery State Prediction through Hybrid Modeling: Integrating Neural Networks with a Single Particle Model

Simona Pepe, Lok Shu Kwan, Baptiste Py, Matthew J. Robson, Adeleke Maradesa, Francesco Ciucci

Version 1 posted 29 August 2023

347

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Citations

Energy

Working Paper

Theoretical and Experimental Study of the Distribution of Capacitive Times

Baptiste Py, Adeleke Maradesa, Francesco Ciucci

Version 1 posted 17 November 2023

379

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Chemical Engineering and Industrial Chemistry

Working Paper

The Probabilistic Deconvolution of the Distribution of Relaxation Times with Finite Gaussian Processes

Adeleke Maradesa, Baptiste Py, Emanuele Quattrocchi, Francesco Ciucci

Version 1 posted 07 December 2021

477

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Energy

Working Paper

Probabilistic Deconvolution of the Distribution of Relaxation Times from Multiple Electrochemical Impedance Spectra

Adeleke Maradesa, Baptiste Py, Francesco Ciucci

Version 1 posted 03 July 2024

230

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7 results in Adeleke Maradesa in Authors: Adeleke Maradesa

Deconvolution of Electrochemical Impedance Spectroscopy Data Using the Deep-Neural-Network-Enhanced Distribution of Relaxation Times

Selecting the Regularization Parameter in the Distribution of Relaxation Times

Gaussian Processes for the Analysis of Electrochemical Impedance Spectroscopy Data: Prediction, Filtering, and Active Learning

Battery State Prediction through Hybrid Modeling: Integrating Neural Networks with a Single Particle Model

Theoretical and Experimental Study of the Distribution of Capacitive Times

The Probabilistic Deconvolution of the Distribution of Relaxation Times with Finite Gaussian Processes

Probabilistic Deconvolution of the Distribution of Relaxation Times from Multiple Electrochemical Impedance Spectra

7 results in Authors: Adeleke Maradesa