Results 61 to 70 of about 11,383 (301)

Improving prediction accuracy of ignition model by weighting using machine learning

open access: yesNihon Kikai Gakkai ronbunshu, 2022
Compression auto-ignition engines have a high potential to achieve both high thermal efficiency and low emission of harmful exhaust gases, but they have a problem of difficult control of ignition and combustion.
Shunki NISHII, Yudai YAMASAKI
doaj   +1 more source

All‐Flex Plasma Patch for In Vivo Delivery of Reactive Species

open access: yesAdvanced Science, EarlyView.
A fully flexible plasma patch enables stable, conformal treatment on complex biological surfaces and enhances transdermal delivery of reactive species. This platform achieves significant tumor suppression in vivo and reveals coordinated regulation of calcium signaling, metabolism, and programmed cell death, providing a promising strategy for safe and ...
Luxiang Zhao   +8 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

open access: yesAdvanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim   +5 more
wiley   +1 more source

Relationship between ignition delay time and cell size of H-2-Air detonation

open access: yes, 2016
In this paper, the coupling mechanism between shock dynamics and chemical reaction kinetics of the self-sustained propagation of H-2-Air detonation was studied.
Zhang W   +3 more
core   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

open access: yesAdvanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah   +4 more
wiley   +1 more source

Calculation of the Minimum Ignition Energy based on the ignition delay time

open access: yes, 2011
Submitted for publication in Combustion and ...
Jensen, Jens Tarjei   +2 more
openaire   +2 more sources

Challenges and enablers in fluidization technology

open access: yesAIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Effects of Buffer Gas Composition on Autoignition of Dimethyl Ether

open access: yesEnergies, 2015
Experimental and numerical studies are conducted on the thermal, chemical and dilution effects of buffer gas composition on autoignition of dimethyl ether (DME).
Zhicheng Shi   +5 more
doaj   +1 more source

Desenvolvimento e aplicação de modelos cinéticos detalhados para etanol e combustíveis hidrocarbonetos contendo etanol [PDF]

open access: yes, 2013
Tese (doutorado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia Mecânica, Florianópolis, 2009O crescente interesse em etanol como combustível é motivado por várias razões econômicas e ambientais ...
Cancino, Leonel Rincón
core  

Artificial Intelligence Challenges for Knowledge Innovation Cycles

open access: yesAI &Innovation, EarlyView.
ABSTRACT This article focuses on knowledge innovation and its contemporary reshaping, with particular attention to the growing role of AI in this process. This article first examines the general structure and phases of knowledge innovation cycles, aiming to identify AI's role within them.
Aharon Kellerman
wiley   +1 more source

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