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Engineering and Technology

D-Index
51
Citations
8536
World Ranking
3925
National Ranking
70

Overview

Alejandro A. Franco is affiliated with the University of Picardie Jules Verne in France. Their research primarily focuses on engineering, with a strong emphasis on electrical and electronic engineering, automotive engineering, materials chemistry, mechanical engineering, and industrial and manufacturing engineering.

Their work covers several main topics including:

  • Advanced Battery Technologies Research
  • Advancements in Battery Materials
  • Advanced Battery Materials and Technologies
  • Machine Learning in Materials Science
  • Extraction and Separation Processes
  • Supercapacitor Materials and Fabrication
  • Fuel Cells and Related Materials

Recent publications by Alejandro A. Franco illustrate their research interests and contributions to the field:

  • "Artificial Intelligence Applied to Battery Research: Hype or Reality?" (2021) published in Chemical Reviews
  • "Rechargeable Batteries of the Future-The State of the Art from a BATTERY 2030+ Perspective" (2021) published in Advanced Energy Materials
  • "Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing" (2020) published in Journal of Power Sources
  • "A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+" (2022) published in Advanced Energy Materials
  • "Bridging nano- and microscale X-ray tomography for battery research by leveraging artificial intelligence" (2022) published in Nature Nanotechnology

Alejandro A. Franco frequently collaborates with other researchers, including:

  • Mehdi Chouchane
  • Franco M. Zanotto
  • Marc Duquesnoy
  • Teo Lombardo
  • Alain C. Ngandjong

The most common venues for Alejandro's publications are:

  • Batteries & Supercaps
  • ECS Meeting Abstracts
  • Journal of Power Sources
  • Energy Storage Materials
  • SSRN Electronic Journal

Best Publications

  • Rechargeable Batteries of the Future—The State of the Art from a BATTERY 2030+ Perspective

    Unknown

  • Artificial Intelligence Applied to Battery Research: Hype or Reality?

    Teo Lombardo;Marc Duquesnoy;Marc Duquesnoy;Hassna El-Bouysidy;Hassna El-Bouysidy;Hassna El-Bouysidy;Fabian Årén

  • Multiscale modelling and numerical simulation of rechargeable lithium ion batteries: concepts, methods and challenges

    Alejandro A. Franco;Alejandro A. Franco

  • Boosting Rechargeable Batteries R&D by Multiscale Modeling: Myth or Reality?

    Alejandro A. Franco;Alexis Rucci;Alexis Rucci;Daniel Brandell;Christine Frayret;Christine Frayret

  • Performance and degradation of Proton Exchange Membrane Fuel Cells: State of the art in modeling from atomistic to system scale

    Thomas Jahnke;Georg Futter;Arnulf Latz;Thomas Malkow

  • A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+

    Unknown

  • Investigating electrode calendering and its impact on electrochemical performance by means of a new discrete element method model: Towards a digital twin of Li-Ion battery manufacturing

    Alain C. Ngandjong;Alain C. Ngandjong;Teo Lombardo;Teo Lombardo;Emiliano N. Primo;Emiliano N. Primo;Mehdi Chouchane;Mehdi Chouchane

  • Digitalization of Battery Manufacturing: Current Status, Challenges, and Opportunities

    Unknown

  • Bridging Nano and Micro-scale X-ray Tomography for Battery Research by Leveraging Artificial Intelligence

    Jonathan Scharf;Mehdi Chouchane;Donal P. Finegan;Bingyu Lu

  • A Multi‐Scale Dynamic Mechanistic Model for the Transient Analysis of PEFCs

    A. A. Franco;P. Schott;C. Jallut;B. Maschke

  • How Machine Learning Will Revolutionize Electrochemical Sciences.

    Aashutosh Mistry;Alejandro A. Franco;Samuel J. Cooper;Scott A. Roberts

  • Artificial Intelligence Investigation of NMC Cathode Manufacturing Parameters Interdependencies

    Ricardo Pinto Cunha;Ricardo Pinto Cunha;Teo Lombardo;Teo Lombardo;Emiliano N. Primo;Emiliano N. Primo;Alejandro A. Franco

  • Multiscale Model of Carbon Corrosion in a PEFC: Coupling with Electrocatalysis and Impact on Performance Degradation

    Alejandro A. Franco;Mathias Gerard

  • Transient multiscale modeling of aging mechanisms in a PEFC cathode

    Alejandro A. Franco;Moussa Tembely

  • Lithium ion battery electrodes predicted from manufacturing simulations: Assessing the impact of the carbon-binder spatial location on the electrochemical performance

    Mehdi Chouchane;Mehdi Chouchane;Alexis Rucci;Alexis Rucci;Teo Lombardo;Teo Lombardo;Alain C. Ngandjong;Alain C. Ngandjong

  • Deconvoluting benefits of porosity distribution in layered electrodes on electrochemical performance of Li-ion batteries

    Unknown

  • A Dynamic Mechanistic Model of an Electrochemical Interface

    Alejandro A. Franco;Pascal Schott;Christian Jallut;Bernhard Maschke

  • Machine Learning-Assisted Multi-Objective Optimization of Battery Manufacturing from Synthetic Data Generated by Physics-Based Simulations

    Unknown

  • Impact of carbon monoxide on PEFC catalyst carbon support degradation under current-cycled operating conditions

    Alejandro A. Franco;Magalie Guinard;Benoit Barthe;Olivier Lemaire

  • Data-driven assessment of electrode calendering process by combining experimental results, in silico mesostructures generation and machine learning

    Marc Duquesnoy;Marc Duquesnoy;Teo Lombardo;Teo Lombardo;Mehdi Chouchane;Mehdi Chouchane;Emiliano N. Primo;Emiliano N. Primo

  • Impact of the Cathode Microstructure on the Discharge Performance of Lithium Air Batteries: A Multiscale Model

    Kan-Hao Xue;Kan-Hao Xue;Trong-Khoa Nguyen;Trong-Khoa Nguyen;Alejandro A. Franco;Alejandro A. Franco

  • Microstructure-based modeling of aging mechanisms in catalyst layers of polymer electrolyte fuel cells.

    Kourosh Malek;Kourosh Malek;Alejandro A. Franco

  • A multiscale theoretical methodology for the calculation of electrochemical observables from ab initio data: Application to the oxygen reduction reaction in a Pt(111)-based polymer electrolyte membrane fuel cell

    Rodrigo Ferreira de Morais;Philippe Sautet;David Loffreda;Alejandro A. Franco

  • Multi-scale coupling between two dynamical models for PEMFC aging prediction

    Christophe Robin;Mathias Gerard;Alejandro A. Franco;Pascal Schott

  • A Comprehensive Model for Non-Aqueous Lithium Air Batteries Involving Different Reaction Mechanisms

    Kan-Hao Xue;Kan-Hao Xue;Euan McTurk;Lee Johnson;Peter G. Bruce

Frequent Co-Authors

Patrik Johansson
Patrik Johansson Uppsala University
Philippe Sautet
Philippe Sautet University of California, Los Angeles
Wolfgang G. Bessler
Wolfgang G. Bessler Offenburg University of Applied Sciences
Clare P. Grey
Clare P. Grey University of Cambridge
Mathieu Morcrette
Mathieu Morcrette University of Picardie Jules Verne
Gérard Gebel
Gérard Gebel Grenoble Alpes University
Ying Shirley Meng
Ying Shirley Meng University of Chicago
Alexis Grimaud
Alexis Grimaud Collège de France
Patrice Simon
Patrice Simon Paul Sabatier University
Sarah H. Tolbert
Sarah H. Tolbert University of California, Los Angeles

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