Interface engineering toward stable lithium–sulfur batteries

Y Guo, Q Niu, F Pei, Q Wang, Y Zhang, L Du… - Energy & …, 2024 - pubs.rsc.org
The lithium–sulfur battery, one of the most potential high-energy-density rechargeable
batteries, has obtained significant progress in overcoming challenges from both sulfur …

A review on theoretical models for lithium–sulfur battery cathodes

S Feng, ZH Fu, X Chen, Q Zhang - InfoMat, 2022 - Wiley Online Library
Abstract Lithium–sulfur (Li–S) batteries have been considered as promising battery systems
due to their huge advantages on theoretical energy density and rich resources. However …

Mo2N Quantum Dots Decorated N‐Doped Graphene Nanosheets as Dual‐Functional Interlayer for Dendrite‐Free and Shuttle‐Free Lithium‐Sulfur Batteries

F Ma, K Srinivas, X Zhang, Z Zhang… - Advanced Functional …, 2022 - Wiley Online Library
The industrialization of lithium–sulfur (Li–S) batteries is simultaneously impeded by the
shuttle effect of lithium polysulfides and dendrites growth on lithium anode. To address both …

Towards practical application of Li–S battery with high sulfur loading and lean electrolyte: Will carbon-based hosts win this race?

Y Gong, J Li, K Yang, S Li, M Xu, G Zhang, Y Shi… - Nano-micro letters, 2023 - Springer
As the need for high-energy–density batteries continues to grow, lithium-sulfur (Li–S)
batteries have become a highly promising next-generation energy solution due to their low …

Synthesis optimization and adsorption modeling of biochar for pollutant removal via machine learning

W Zhang, R Chen, J Li, T Huang, B Wu, J Ma, Q Wen… - Biochar, 2023 - Springer
Due to large specific surface area, abundant functional groups and low cost, biochar is
widely used for pollutant removal. The adsorption performance of biochar is related to …

Artificial Intelligence‐Based Material Discovery for Clean Energy Future

R Maleki, M Asadnia, A Razmjou - Advanced Intelligent …, 2022 - Wiley Online Library
Artificial intelligence (AI)‐assisted materials design and discovery methods can come to the
aid of global concerns for introducing new efficient materials in different applications. Also, a …

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 …

Machine learning for beyond Li-ion batteries: Powering the research

A Kilic, B Oral, D Eroglu, R Yildirim - Journal of Energy Storage, 2023 - Elsevier
New alternatives for various elements of Li-ion battery (LIB) have been investigated to
overcome its limitations, creating a new class of batteries called beyond LIBs. There has …

2D MXenes as Electrode Materials for Metal-Sulfur Batteries: A Review

IA Soomro, MN Lakhan, A Hanan, H Almujibah… - Materials Today …, 2024 - Elsevier
Metal-sulfur batteries (MSBs) have garnered significant interest as upcoming energy storage
options on account of their higher theoretical energy density. Nevertheless, these entities …

AlphaMat: a material informatics hub connecting data, features, models and applications

Z Wang, A Chen, K Tao, J Cai, Y Han, J Gao… - npj Computational …, 2023 - nature.com
The development of modern civil industry, energy and information technology is inseparable
from the rapid explorations of new materials. However, only a small fraction of materials …