Results 151 to 160 of about 33,121 (302)

Depth‐of‐Discharge‐Dependent Chemical Evolution in Sulfurized Polyacrylonitrile Cathodes for Ether‐Based Room‐Temperature Sodium–Sulfur Batteries

Advanced Energy Materials, EarlyView.
Sulfurized polyacrylonitrile (SPAN) is investigated as a cathode for room‐temperature Na–S batteries in ether‐based electrolytes under controlled discharge depths. Depth‐of‐discharge‐dependent structural evolution reveals that deep discharge below 1.0 V destabilizes SPAN structure, alters polysulfide equilibria, and promotes sodium dendrite formation ...
Liwen Yang, Angelina Sarapulova, Bercis Pektas, Rong Li, Hatice Mutlu, Sonia Dsoke   +5 more
wiley   +1 more source

Lithium‐Sulfur Batteries: An Advanced Lithium‐Sulfur Battery (Adv. Funct. Mater. 8/2013) [PDF]

Advanced Functional Materials, 2013
Junghoon Kim, Dong‐Ju Lee, Hun‐Gi Jung, Yang‐Kook Sun, Jusef Hassoun, Bruno Scrosati   +5 more
openaire   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

Advanced Energy Materials, EarlyView.
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen, Zheyu Zhang, Kelvian T. Mularso, Bonghyun Jo, Hyun Suk Jung   +4 more
wiley   +1 more source

Optimization of Fluorinated Ether-Based Quasi-Solid Electrolyte Systems for Lithium-Sulfur Batteries. [PDF]

ACS Appl Energy Mater
Senevirathna I, Chen C, Ou J, Tatagari V, Shaw L, Segre CU.   +5 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Unveiling the Formation and Evolution of the Cathode-Electrolyte Interphase in Lithium-Sulfur Batteries. [PDF]

Adv Sci (Weinh)
Machado Amaral M, Jovino Marques O, de Navarro de Miranda A, Oliveira AC, Doubek G, Singh G, Zanin H, Garcia Freitas R, Nelson Weker J, Fernandez PS.   +9 more
europepmc   +1 more source

The LiAl/FeS2 battery power source for the future [PDF]

Advanced high power density rechargeable batteries are currently under development. These batteries have the potential of greatly increasing the power and energy densities available for space applications. Depending on whether the system is optimized for
Briscoe, J. Douglass, Embrey, J., Oweis, S., Press, K.   +3 more
core   +1 more source

Reaction kinetics model in liquid and solid phases and its parameterization for room temperature sodium–sulfur battery

AIChE Journal, EarlyView.
Abstract A multipore, multiphase, continuum model is assembled for the first time for room temperature sodium–sulfur (RT Na–S) batteries, with Na+ ion transport and redox reactions in the liquid electrolyte phase and semisolid phase of precipitates softened by the electrolyte solvent, as guided by molecular dynamics simulations in this study ...
Hakeem A. Adeoye, Allan Foster, John F. Watts, Constantina Lekakou   +3 more
wiley   +1 more source

Beyond the Hype: Decoding Bis(fluorosulfonyl)imide Chemistry in Advanced Lithium-Sulfur Batteries. [PDF]

Small Methods
Soria-Fernández A, Castillo J, Cid R, Song Z, Wu H, Carriazo D, Armand M, Zhang H, Santiago A.   +8 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source