Rechargeable batteries of the future—the state of the art from a BATTERY 2030+ perspective

M Fichtner, K Edström, E Ayerbe… - Advanced Energy …, 2022 - Wiley Online Library
The development of new batteries has historically been achieved through discovery and
development cycles based on the intuition of the researcher, followed by experimental trial …

Machine learning: an advanced platform for materials development and state prediction in lithium‐ion batteries

C Lv, X Zhou, L Zhong, C Yan, M Srinivasan… - Advanced …, 2022 - Wiley Online Library
Lithium‐ion batteries (LIBs) are vital energy‐storage devices in modern society. However,
the performance and cost are still not satisfactory in terms of energy density, power density …

Machine learning assisted materials design and discovery for rechargeable batteries

Y Liu, B Guo, X Zou, Y Li, S Shi - Energy Storage Materials, 2020 - Elsevier
Abstract Machine learning plays an important role in accelerating the discovery and design
process for novel electrochemical energy storage materials. This review aims to provide the …

Data‐Driven Materials Innovation and Applications

Z Wang, Z Sun, H Yin, X Liu, J Wang, H Zhao… - Advanced …, 2022 - Wiley Online Library
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …

[HTML][HTML] Machine learning for advanced energy materials

Y Liu, OC Esan, Z Pan, L An - Energy and AI, 2021 - Elsevier
The screening of advanced materials coupled with the modeling of their quantitative
structural-activity relationships has recently become one of the hot and trending topics in …

Machine learning for battery research

Z Wei, Q He, Y Zhao - Journal of Power Sources, 2022 - Elsevier
Batteries are vital energy storage carriers in industry and in our daily life. There is continued
interest in the developments of batteries with excellent service performance and safety …

Sulfur‐containing compounds as electrolyte additives for lithium‐ion batteries

B Tong, Z Song, H Wan, W Feng, M Armand, J Liu… - InfoMat, 2021 - Wiley Online Library
Originating from “rocking‐chair concept”, lithium‐ion batteries (LIBs) have become one of
the most important electrochemical energy storage technologies, which have largely …

Machine learning-accelerated discovery and design of electrode materials and electrolytes for lithium ion batteries

G Xu, M Jiang, J Li, X Xuan, J Li, T Lu, L Pan - Energy Storage Materials, 2024 - Elsevier
With the development of artificial intelligence and the intersection of machine learning (ML)
and materials science, the reclamation of ML technology in the realm of lithium ion batteries …

Rechargeable battery electrolytes capable of operating over wide temperature windows and delivering high safety

X Lin, G Zhou, J Liu, J Yu, MB Effat… - Advanced Energy …, 2020 - Wiley Online Library
Li‐ion batteries (LIBs) are the energy storage systems of choice for portable electronics and
electric vehicles. Due to the growing deployment of energy storage solutions, LIBs are …

Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation

T Yu, C Wang, H Yang, F Li - Journal of Energy Chemistry, 2024 - Elsevier
Abstract Metal-ion batteries (MIBs), including alkali metal-ion (Li+, Na+, and K+), multi-valent
metal-ion (Zn 2+, Mg 2+, and Al 3+), metal-air, and metal-sulfur batteries, play an …