7 results match your criteria: "ENFI R&D Institute[Affiliation]"

Lithium-rich manganese-based (LRM) materials have emerged as leading contenders for next-generation LIBs, delivering exceptional energy densities (>900 W h kg), while maintaining cost advantages over cobalt-containing alternatives. However, the voltage decay, capacity loss, and life reduction have hindered their further commercialization. Herein, the strategy of using a polyimide/multi-walled carbon nanotubes (PI/MWCNTs) composite coating layer is proposed to optimize the microstructure and enhance the electrochemical properties.

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This study aims to develop and validate a risk prediction model for enteral nutrition feeding intolerance (ENFI) in patients with severe traumatic brain injury (STBI), providing a foundation for the prevention and management of ENFI in this population. STBI is a prevalent acute and severe condition encountered in neurosurgery. STBI patients are prone to diarrhea, reflux, and other manifestations of feeding intolerance during enteral nutrition, which not only affects the patient's systemic therapy and prolongs hospital stay, but also increases the risk of infection.

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Engineering Optimization of Producing High-Purity Dichlorosilane in a Fixed-Bed Reactor by Trichlorosilane Decomposition.

ACS Omega

October 2024

State Key Lab of Silicon and Advanced Semiconductor Materials and School of Materials Science & Engineering, Zhejiang University, Hangzhou 310027, P. R. China.

High-purity dichlorosilane (DCS) is an important raw material for thin film deposition in the semiconductor industry, such as epitaxial silicon, which is mainly produced by trichlorosilane (TCS) catalytic decomposition in a fixed-bed reactor. The productivity of DCS is strongly dependent on the controlling of the TCS decomposition reaction process, associated with the cost in practical application. In this study, we have performed computational fluid dynamics (CFD) simulation on the TCS decomposition reaction kinetics in a cylindrical fixed-bed reactor, in which the effects of catalyst bed height, feed temperature, and feed flow rate are stressed to predict the conversion rate of TCS and the generation rate of DCS.

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Separators are applied to segregate cathode and anode, and provide ion transport channels in lithium-ion batteries (LIBs). Nevertheless, present commercial polyolefin separators represent high thermal shrinkage and inferior electrolyte wettability, seriously limiting wider development of LIBs. In this work, we prepared zirconia (ZrO) nanolayer encapsulated polyimide (PI) nanofiber compound separator through in-situ polar adsorption and hydrolysis strategy.

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The pyrolysis kinetics of SiHCl and its reaction mechanism are essential for the chemical vapor deposition process in polysilicon industries. However, due to the high temperature and lack of in situ experimental detection technology, it is difficult to carry out experimental research on the pyrolysis kinetics of SiHCl. In this work, reactive force field molecular dynamics simulations of SiHCl pyrolysis were performed to investigate the effect of temperature on the pyrolysis kinetics of SiHCl at the atomistic scale in a wide temperature range (1000-2000 K).

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Estimating dewatering in an underground mine by using a 3D finite element model.

PLoS One

November 2020

Ruashi Mining SAS, Ruashi Mine Site, Lubumbashi, Lualaba, The Democratic Republic of Congo.

Groundwater inflow to an underground mine will seriously affect its mining plan and engineering geology safety. Groundwater models are powerful tools commonly used in the mines to develop dewatering strategies. Many mines in the Kolwezi area have been present since the 1950s, and groundwater flow patterns have been significantly influenced by mining activities.

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In order to realize pollution control and resource recovery, sediment from Beian River in Mudanjiang City China was used for ceramsite production. The maximum content of total nitrogen (TN), total phosphorus (TP) and organic matter (OM) in sediments of Beian River were 2975 mg kg, 2947 mg kg and 29.6%, respectively.

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