Interface engineering toward stable lithium–sulfur batteries
The lithium–sulfur battery, one of the most potential high-energy-density rechargeable
batteries, has obtained significant progress in overcoming challenges from both sulfur …
batteries, has obtained significant progress in overcoming challenges from both sulfur …
A review on theoretical models for lithium–sulfur battery cathodes
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 …
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 …
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?
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 …
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 …
widely used for pollutant removal. The adsorption performance of biochar is related to …
Artificial Intelligence‐Based Material Discovery for Clean Energy Future
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 …
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
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 …
Machine learning for beyond Li-ion batteries: Powering the research
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 …
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
Metal-sulfur batteries (MSBs) have garnered significant interest as upcoming energy storage
options on account of their higher theoretical energy density. Nevertheless, these entities …
options on account of their higher theoretical energy density. Nevertheless, these entities …
AlphaMat: a material informatics hub connecting data, features, models and applications
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 …
from the rapid explorations of new materials. However, only a small fraction of materials …