Results 221 to 230 of about 70,331 (353)

From Materials to Systems: Challenges and Solutions for Fast‐Charge/Discharge Na‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review systematically analyzes the key characteristics limiting the fast‐charge/discharge capability of Na‐ion batteries (SIBs) from a multi‐scale perspective encompassing electrode materials, the electrode‐electrolyte interface, and the system. Furthermore, it presents practical solution strategies for the fundamental issues arising at each scale,
Bonyoung Ku   +5 more
wiley   +1 more source

Surface Functionalization of Non-Woven Fabrics Using a Novel Silica-Resin Coating Technology: Antiviral Treatment of Non-Woven Fabric Filters in Surgical Masks. [PDF]

open access: yesInt J Environ Res Public Health, 2022
Tsutsumi-Arai C   +12 more
europepmc   +1 more source

The influence of woven fabric structure on the woven fabric strength

open access: yes, 2006
In this article, the methods of assessment of the woven fabric structure are described, the weave factors of woven fabric and integrated fabric structure factors suggested by different scientists are presented, the differences and advantages of the above factors are analyzed.
Kumpikaitė, Eglė   +3 more
openaire   +1 more source

Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang   +6 more
wiley   +1 more source

The Elastic Share of Inelastic Stress-Strain Paths of Woven Fabrics. [PDF]

open access: yesMaterials (Basel), 2020
Motevalli M   +3 more
europepmc   +1 more source

Assessment of composites reinforced with innovative 3D Woven hollow fabrics [PDF]

open access: yes, 2016
De Baere, Ives   +4 more
core  

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

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