Results 181 to 190 of about 52,520 (264)

Degradation Pathways of Silicon‐Based Anodes in Lithium‐Ion Batteries

Advanced Energy Materials, EarlyView.
Silicon‐based anodes undergo degradation through five primary pathways: (1) mechanical and structural deterioration of the active material, (2) loss of electrode integrity and electrical contact, (3) mechanical instability of the solid electrolyte interphase (SEI), characterized by repetitive fracture and deformation, (4) chemical instability of the ...
Yoon Jeong Choi, Ji‐Youn Bae, Ga‐On Park, Seung‐Ho Yu   +3 more
wiley   +1 more source

Dataset on fire resistance analysis of FRP-strengthened concrete beams. [PDF]

Data Brief
Bhatt PP, Kodur VKR, Naser MZ.
europepmc   +1 more source

High Power Density, Low Temperature, Solid Oxide Fuel Cells at Elevated Oxygen Partial Pressure

Advanced Energy Materials, EarlyView.
Elevated pO2${{p}_{{{{\mathrm{O}}}_2}}}$ improves oxygen reduction reaction (ORR) kinetics, thus reducing electrode area specific resistance (ASR). The effect of pO2${{p}_{{{{\mathrm{O}}}_2}}}$ in open circuit potential (OCP) and ASR is demonstrated on both Sr0.5Sm0.5CoO3‐δ‐Gd0.1Ce0.9O2‐δ (SSC‐GDC) composite cathodes and our recently developed nano‐PSC
Samuel A. Horlick, Yi‐Lin Huang, Keith L. Duncan, Aniqa Anjum, Nathan B. Johnson, Alexandra P. Lam, Ian A. Robinson, Eric D. Wachsman   +7 more
wiley   +1 more source

A Study on the Fire Resistance of the Fire Damper

Journal of Korean Society of Hazard Mitigation, 2015
Dong Ho Choi, Hee Won Seo, Soo Young Park   +2 more
openaire   +1 more source

Synergistic Anode Engineering for Aqueous Aluminium Ion Batteries: From Mechanistic Understanding to Computationally Accelerated Design

Advanced Energy Materials, EarlyView.
Mechanistic anode engineering for aqueous aluminium‐ion batteries is discussed through alloying and microstructure control, surface/interface engineering, and electrolyte modification to regulate ion transport, suppress dendrites, passivation, hydrogen evolution, and side reactions, highlighting standardisation, computational acceleration, and ...
Hong Zhao, Ting Liu, Lianzhou Wang, Matthew Dargusch   +3 more
wiley   +1 more source

Farmers’ Protests in Germany: Media Coverage and Types of Bias

Agribusiness, EarlyView.
ABSTRACT The German farmers’ protests of 2024 sparked widespread media coverage and public debate. Yet, media coverage was not always positive, reflecting the media's attention‐seeking and selective focus. Occurrences of farmers blocking media outlets reflected distrust in how their concerns were portrayed.
Felix Schlichte, Doris Läpple
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Lightweight Biobased Polyurethane Composites Derived from Liquefied Polyol Reinforced by Biomass Sources with High Mechanical Property and Enhanced Fire-Resistance Performance. [PDF]

ACS Omega
Nguyen TA, Vo DK, Nguyen KTD, Tran DQ, Nguyen DM, Nguyen NT, Vu TT, Nguyen VT, Hoang D.   +8 more
europepmc   +1 more source

Evolution of Physical Intelligence Across Scales

Advanced Intelligent Discovery, EarlyView.
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu, Tianyun Huang, Aming Li, Pengyu Lv, Tingting Qin, Wenhui Chen, Hui Wei, Huiling Duan   +7 more
wiley   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source