Home ›
Entities
› academia
› Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles
Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles
Research article (Materials Horizons, 2023) · cited 25× · AI/ML
Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles
Summary
Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles is a scholarly article[1].
Key Facts
Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-based-spatio-temporal-generative-model-on-assessing-state-of-health-for-li-ion-batteries-with-partially-cy
MLA“Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-based-spatio-temporal-generative-model-on-assessing-state-of-health-for-li-ion-batteries-with-partially-cy.
BibTeX@misc{4ortxyz_deep-learning-based-spatio-temporal-generative-model-on-assessing-state-of-health-for-li-ion-batteries-with-partially-cy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-based-spatio-temporal-generative-model-on-assessing-state-of-health-for-li-ion-batteries-with-partially-cy}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles — https://4ort.xyz/entity/deep-learning-based-spatio-temporal-generative-model-on-assessing-state-of-health-for-li-ion-batteries-with-partially-cy (retrieved 2026-05-24)