DataVXBatteries & SupercapsPaper
journal article·2021-05Open access

Front Cover: What Can Text Mining Tell Us About Lithium‐Ion Battery Researchers’ Habits? (Batteries & Supercaps 5/2021)

Hassna El‐Bousiydy, Teo Lombardo, Emiliano N. Primo, Marc Duquesnoy, Mathieu Morcrette, Patrik Johansson, Patrice Simon, Alexis Grimaud, Alejandro A. Franco

Batteries & Supercaps· Volume 4· Issue 5
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Source abstract

Abstract

The Front Cover illustrates an ideal scientific literature, in which all the data are systematically disclosed and available for researchers, together with artificial intelligence algorithms aiming to bring new light on the next generation of batteries. More information can be found in the Concept by A. A. Franco and co-workers.
Source: openalex_inverted_index · Quality: baseline

Research context

Energy storage

OpenAlex topics: Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratoire de Réactivité et Chimie des Solides (LRCS) UMR CNRS 7314 Université de Picardie Jules Verne, Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex 1 France

ALISTORE-European Research Institute FR CNRS 3104, Hub de l'Energie 15, rue Baudelocque 80039 Amiens Cedex 1 France

Réseau sur le Stockage Electrochimique de l'Energie (RS2E) FR CNRS 3459, Hub de l'Energie 15 rue Baudelocque 80039 Amiens Cedex 1 France

Department of Physics Chalmers University of Technology SE-412 96 Göteborg Sweden

CIRIMAT Université de Toulouse CNRS, INPT, UPS Université Toulouse 3 Paul Sabatier, Bât. CIRIMAT 118, route de Narbonne 31062 Toulouse cedex 9 France

Institut Universitaire de France 103 boulevard Saint Michel 75005 Paris France

UMR CNRS 8260 “Chimie du Solide et Energie” Collège de France 11 Place Marcelin Berthelot 75231 Paris Cedex 05 France

Sorbonne Universités - UPMC Univ Paris 06 4 Place Jussieu 75005 Paris France

References

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