Results 51 to 60 of about 2,948,095 (343)

Corrosion and Process Analysis of a Preoxidized MgO Recyclate‐Based Cermet Anode in Laboratory‐Scale Na‐Cryolite Molten Salt Electrolysis of Aluminum at 1000°C

open access: yesAdvanced Engineering Materials, EarlyView.
EDX elemental map of the pre‐oxidized MgO–steel cermet anode cross section after electrolysis. The development of inert anodes for aluminum electrolysis remains challenging due to the high corrosivity of cryolite‐based melts at 950°C–1000°C. This study investigates the corrosion and process behavior of a carbon‐free MgO–steel cermet anode derived from ...
Alexander Adamczyk   +7 more
wiley   +1 more source

Transport Infrastructure Development and Interregional Trade Flows: Evidence From Gansu Province

open access: yesDiscrete Dynamics in Nature and Society
This study employs a county-level refined computable general equilibrium (CGE) model to analyze the impact of transportation infrastructure in Gansu Province on inter-regional trade and coordinated regional development.
Huijuan Li   +3 more
doaj   +1 more source

Interaction of MgO Recyclate‐Based Cermet Anode With KF‐AlF3‐Al2O3 at 800°C During Laboratory Scale Aluminum Molten Salt Electrolysis

open access: yesAdvanced Engineering Materials, EarlyView.
A carbon‐free, as‐sintered MgO–steel cermet anode, fabricated via cold isostatic pressing using MgO–C refractory recyclate, was evaluated under laboratory‐scale K‐cryolite electrolysis at 800°C. Operation at this reduced temperature, combined with the electrolyte's limited electrical conductivity, led to an increase in cell voltage.
Farhan Hossain   +7 more
wiley   +1 more source

Toward Low‐Consumable Anodes: Process Simulation and Prospective Life Cycle Assessment of NiFe2O4‐NiO‐Ni‐Cu vs. Prebaked Anodes for Aluminum Production with use of Molten Salt Electrolysis

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐consumable nickel ferrite‐based anodes for the Hall–Héroult process are compared with conventional prebaked carbon anodes using thermodynamic simulation and prospective life cycle assessment under contrasting future electricity system pathways from 2025 to 2050.
Felipe Alejandro Garcia Paz   +6 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang   +4 more
wiley   +1 more source

Impacts of e-RLSQ on repurchase intention in Vietnam’s e-commerce market: The mediating role of customer satisfaction and trust

open access: yesInternational Journal of Information Management Data Insights
In the competitive e-commerce landscape, effective product returns management is crucial for customer retention. This study investigate the impact of electronic reverse logistics service quality (e-RLSQ) on repurchase intention, emphasizing the mediating
Anh Duc Do   +6 more
doaj   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

open access: yesAdvanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

The influence of electronic word of mouth and perceived value on green purchase intention in Vietnam

open access: yesCogent Business & Management
This study aims to analyze and evaluate the influence of electronic word of mouth (eWOM) and perceived value on green purchase intention in Vietnam, with the belief that it plays an intermediary role. The article uses the linear structural model (SEM) to
Xuan Hung Nguyen   +5 more
doaj   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

open access: yesAdvanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore   +7 more
wiley   +1 more source

From Wafers to Electrodes: Transferring Automatic Optical Inspection (AOI) for Multiscale Characterization of Smart Battery Manufacturing

open access: yesAdvanced Functional Materials, EarlyView.
Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley   +1 more source

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