Electrochemo-mechanical response of all solid-state batteries: Finite element simulations supported by image-based 3D reconstruction of X-ray microscopy tomography-Reference-Cited by-同舟云学术

Electrochemo-mechanical response of all solid-state batteries: Finite element simulations supported by image-based 3D reconstruction of X-ray microscopy tomography

Published:2023-09 Issue: Volume:463 Page:142873
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Huang Pingyuan^ORCID,Gao Li Ting,Guo Zhan-Sheng^ORCID

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference77 articles.

1. Building better batteries;Armand;Nature,2008

2. Electrochemical performance of an all-solid-state lithium ion battery with garnet-type oxide electrolyte;Ohta;J. Power Sources,2012

3. High-energy long-cycling all-solid-state lithium metal batteries enabled by silver-carbon composite anodes;Lee;Nat. Energy,2020

4. A durable and safe solid-state lithium battery with a hybrid electrolyte membrane;Zhang;Nano Energy,2018

5. Electro-chemo-mechanical analysis of the effect of bending deformation on the interface of flexible solid-state battery;Shi;Appl. Math. Mech.-Engl.,2023

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data‐Driven Battery Characterization and Prognosis: Recent Progress, Challenges, and Prospects;Small Methods;2024-01-11

2. Computational approach inspired advancements of solid-state electrolytes for lithium secondary batteries: from first-principles to machine learning;Chemical Society Reviews;2024

3. Framework for Multi-Physics and Multi-Scale Modeling of Electrochemo-Mechanical Behavior of All-Solid-State Batteries Via Machine Learning Informed Image Segmentation;2024