Results 221 to 230 of about 516,324 (301)

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

open access: yesAdvanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu   +4 more
wiley   +1 more source

Toward Standardization in CO2 Electrolysis: A Round Robin Study

open access: yesAdvanced Energy Materials, EarlyView.
CO2 electrolysis is a promising green technology for producing fuels and chemicals. To support its real‐world adoption, researchers conducted a collaborative study to identify sources of experimental variability. They found key differences in temperature and pressure control across labs and proposed a standardized testing protocol to improve ...
Dorottya Hursán   +12 more
wiley   +1 more source

Self‐Heating and Thermal Gradient in Solid‐State Batteries: Friend or Foe?

open access: yesAdvanced Energy Materials, EarlyView.
This work investigates the role of self‐heating and thermal gradients derived from the kinetics/transport interactions within the cathode microstructure, electrode architecture, and operating regimes, thus encouraging a mechanism‐centric design of anode‐free solid‐state batteries for next‐generation high‐power applications.
Abhinand Ayyaswamy   +2 more
wiley   +1 more source

The Relativity of Consciousness: A Biological and Contextual Phenomenon

open access: yes
Consciousness has been a central topic in both philosophy and science, often debated as either a purely physical phenomenon or a metaphysical construct. This paper proposes an alternative perspective: consciousness as a relative phenomenon, shaped by a living organism's biological structure, perceptual capacity, and environmental context.
openaire   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Home - About - Disclaimer - Privacy