Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?-Reference-Cited by-同舟云学术

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Modeling the Solid Electrolyte Interphase: Machine Learning as a Game Changer?

Published:2022-01-30 Issue:8 Volume:9 Page:2101734
ISSN:2196-7350
Container-title:Advanced Materials Interfaces
language:en
Short-container-title:Adv Materials Inter

Author:

Diddens Diddo¹^ORCID,Appiah Williams Agyei²^ORCID,Mabrouk Youssef¹^ORCID,Heuer Andreas¹³^ORCID,Vegge Tejs²^ORCID,Bhowmik Arghya²^ORCID

Affiliation:

1. Helmholtz Institute Münster (HI MS) IEK‐12 Forschungszentrum Jülich GmbH Corrensstraße 46 48149 Münster Germany

2. Department of Energy Conversion and Storage Technical University of Denmark Anker Engelundvej, Building 301 Kgs. Lyngby DK‐2800 Denmark

3. Institute of Physical Chemistry University of Münster Corrensstraße 28/30 48149 Münster Germany

Funder

Novo Nordisk Fonden

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/admi.202101734

Reference347 articles.

1. J.Amici P.Asinari E.Ayerbe E.Barboux P.Bayle‐Guillemaud R. J.Behm M.Berecibar E.Berg A.Bhowmik S.Bodoardo I. E.Castelli I.Cekic‐Laskovic R.Christensen S.Clark R.Diehm R.Dominko M.Fichtner A. A.Franco A.Grimaud N.Guillet M.Hahlin S.Hartmann V.Heiries K.Hermansson A.Heuer L.Jabbour S.Jana J.Kallo A.Latz H.Lorrmann et al. Adv. Energy Mater.2021 https://doi.org/10.1002/aenm.202102785.

2. The Solid Electrolyte Interphase – The Most Important and the Least Understood Solid Electrolyte in Rechargeable Li Batteries

3. In situ quantification of interphasial chemistry in Li-ion battery

4. Advanced Model for Solid Electrolyte Interphase Electrodes in Liquid and Polymer Electrolytes

5. Understanding the physical metallurgy of the CoCrFeMnNi high-entropy alloy: an atomistic simulation study

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2. Impact of Polymer End Groups on the Formation of Solid Electrolyte Interphase at the Lithium Metal Interface: A First-Principles Calculations Study;The Journal of Physical Chemistry C;2024-09-12

3. Atomistic Simulation of HF Etching Process of Amorphous Si₃N₄ Using Machine Learning Potential;ACS Applied Materials & Interfaces;2024-08-28

4. Continuum insight into the effects of electrode design parameters on the electrochemical performance of lithium-ion batteries;Electrochimica Acta;2024-08

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