Carbon neutrality strategies for sustainable batteries: from structure, recycling, and properties to applications
Research on new energy storage technologies has been sparked by the energy crisis,
greenhouse effect, and air pollution, leading to the continuous development and …
greenhouse effect, and air pollution, leading to the continuous development and …
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 …
Bridging multiscale characterization technologies and digital modeling to evaluate lithium battery full lifecycle
The safety, durability and power density of lithium‐ion batteries (LIBs) are currently
inadequate to satisfy the continuously growing demand of the emerging battery markets …
inadequate to satisfy the continuously growing demand of the emerging battery markets …
Data-driven-aided strategies in battery lifecycle management: prediction, monitoring, and optimization
Predicting, monitoring, and optimizing the performance and health of a battery system
entails a variety of complex variables as well as unpredictability in given conditions. Data …
entails a variety of complex variables as well as unpredictability in given conditions. Data …
MatGPT: A vane of materials informatics from past, present, to future
Combining materials science, artificial intelligence (AI), physical chemistry, and other
disciplines, materials informatics is continuously accelerating the vigorous development of …
disciplines, materials informatics is continuously accelerating the vigorous development of …
Basic guidelines of the first− principles calculations for suitable selection of electrochemical Li storage materials: A review
In this work, practical ways of using first-principles and machine learning calculations in
rechargeable Li batteries to understand the associated electrochemical Li storage reactions …
rechargeable Li batteries to understand the associated electrochemical Li storage reactions …
Sapiential battery systems: beyond traditional electrochemical energy
T Zhang, J Yu, H Guo, J Qi, M Che, M Hou… - Chemical Society …, 2024 - pubs.rsc.org
As indispensable energy-storage technology in modern society, batteries play a crucial role
in diverse fields of 3C products, electric vehicles, and electrochemical energy storage …
in diverse fields of 3C products, electric vehicles, and electrochemical energy storage …
Machine learning-assisted synthesis of two-dimensional materials
M Lu, H Ji, Y Zhao, Y Chen, J Tao, Y Ou… - … Applied Materials & …, 2022 - ACS Publications
Two-dimensional (2D) materials have intriguing physical and chemical properties, which
exhibit promising applications in the fields of electronics, optoelectronics, as well as energy …
exhibit promising applications in the fields of electronics, optoelectronics, as well as energy …
Advances in materials and machine learning techniques for energy storage devices: A comprehensive review
P Thakkar, S Khatri, D Dobariya, D Patel, B Dey… - Journal of Energy …, 2024 - Elsevier
The increasing global need for energy supply in modern society has created a pressing
need to explore new materials for renewable energy technologies. However, conventional …
need to explore new materials for renewable energy technologies. However, conventional …
Artificial intelligence-driven rechargeable batteries in multiple fields of development and application towards energy storage
L Zheng, S Zhang, H Huang, R Liu, M Cai, Y Bian… - Journal of Energy …, 2023 - Elsevier
Rechargeable batteries are vital in the domain of energy storage. However, traditional
experimental or computational simulation methods for rechargeable batteries still pose time …
experimental or computational simulation methods for rechargeable batteries still pose time …