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 …
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
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 …
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 …
process for novel electrochemical energy storage materials. This review aims to provide the …
Data‐Driven Materials Innovation and Applications
Owing to the rapid developments to improve the accuracy and efficiency of both
experimental and computational investigative methodologies, the massive amounts of data …
experimental and computational investigative methodologies, the massive amounts of data …
[HTML][HTML] Machine learning for advanced energy materials
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 …
structural-activity relationships has recently become one of the hot and trending topics in …
Machine learning for battery research
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 …
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 …
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
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 …
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
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 …
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
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 …
metal-ion (Zn 2+, Mg 2+, and Al 3+), metal-air, and metal-sulfur batteries, play an …