Skip to main content

ResearchHubLoading navigation…

Loading ResearchHub…

Explore the network

Research, people, journals and institutions — all in one place.

Explore

01Research 02Smart search 03Researchers 04Journals 05Institutions 06RHR Rankings 07ResearchHub platform 08Events

Work together

Turn ideas into projects, questions and reusable datasets.

Connect

01Projects 02Questions 03Datasets

Stay informed

Follow trends, opportunities and your research library.

Insights

01Research trends 02Opportunities 03Library 04Research services 05ResearchHub Pro 06Pricing

ResearchHub

Explore ResearchHub.

Personal

01Recommended research 02Research intelligence

Home Search Network Library Log in

ResearchHub

Research, connected

Explore the graph

X

Download ResearchHub

GET IT ONGoogle PlayComing soonDownload on theApp StoreComing soonEXPLORE IT ONAppGalleryComing soon

Research

Research Researchers Journals Institutions RHR Rankings

Contribute

Projects Questions Datasets Opportunities

Platform

ResearchHub platform About Blog Community Help API Licensing

Shopping

Contact and support

Need help, have a question, or want to contact the ResearchHub team?

Contact and support support@aresearch.uk

© 2026 ResearchHub. Built for responsible scholarly connection.

Help Article feed Privacy Terms Cookies This work is licensed under Creative Commons Attribution 4.0 InternationalCC BY 4.0

Privacy-aware community infrastructure

Privacy & Cookies

We use cookies and similar technologies

ResearchHub uses necessary technologies for security, authentication and core functionality. Advertising choices, where available, are collected separately through Google's consent message.

See our Privacy Notice and Cookie Policy.

Cited by — Computational understanding of Li-ion batteries | ResearchHub - ResearchHub

Research graph

Cited by

Admitted local publications that cite Computational understanding of Li-ion batteries.

Chemomechanical modeling of lithiation-induced failure in high-volume-change electrode materials for lithium ion batteries

2017 · crossref-doi · confidence 1

Possible ground states and parallel magnetic-field-driven phase transitions of collinear antiferromagnets

2016 · crossref-doi · confidence 1

Construction of ground-state preserving sparse lattice models for predictive materials simulations

2017 · crossref-doi · confidence 1