Results 231 to 240 of about 4,548,219 (290)

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

Advanced 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, Farhan Hossain, Felipe A. Garcia Paz, Serhii Yaroshevskyi, Felix Drechsler, Daniel Vogt, Christos G. Aneziris, Alexandros Charitos   +7 more
wiley   +1 more source

Regulations for international non-proprietary name prescribing and substitution, relevant for cross-border ePrescribing and eDispensation services in the European Union. [PDF]

Eur J Public Health
Vander Stichele R, Roumier J, Van Nimwegen D, Kalra D, Kalra D, Gkogkidis A, Vegiotti N, Quintana Y, Wilson P.   +8 more
europepmc   +1 more source

Resistance Rapid Heating of Aluminum Coatings in an Extreme High Vacuum–Adequate Atmosphere for Hot Stamping

Advanced Engineering Materials, EarlyView.
The subject of this work is the development of a corrosion‐protective coating on steel sheets for form hardening. Rapid heating in an extreme high vacuum (XHV)‐adequate atmosphere is a useful method to prevent oxidation during alloying of 22MnB5 and aluminum to obtain a metallurgical bonding.
Lorenz Albracht, Alexander Schnettger, Ulrich Holländer, Sven Hübner, Bernd‐Arno Behrens, Hans Jürgen Maier   +5 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

Advanced 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, Ulziikhuu Otgonbayar, Alexander Adamczyk, Farhan Hossain, Daniel Vogt, Johan Berg Pettersen, Alexandros Charitos   +6 more
wiley   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Cryo-electron microscopic visualization of RAD51 filament assembly and end-capping by XRCC3-RAD51C-RAD51D-XRCC2. [PDF]

Science
Greenhough LA, Galanti L, Liang CC, Boulton SJ, West SC.   +4 more
europepmc   +1 more source

Safety evaluation of blue galdieria extract as a food additive. [PDF]

EFSA J
EFSA Panel on Food Additives and Flavourings (FAF), Castle L, Andreassen M, Aquilina G, Bastos ML, Boon P, Fallico B, FitzGerald R, Frutos Fernandez MJ, Grasl-Kraupp B, Gundert-Remy U, Gürtler R, Houdeau E, Kurek M, Louro H, Morales P, Passamonti S, Barat Baviera JM, Degen G, Gott D, Herman L, Leblanc JC, Moldeus P, Waalkens-Berendsen I, Wölfle D, Consuelo C, Rincon AM, Tard A, Tosato A, Zakidou P, Ruggeri L.   +30 more
europepmc   +1 more source

Deficits in Motion and Form Perception in Infantile Nystagmus Syndrome. [PDF]

Invest Ophthalmol Vis Sci
Joshi MR, Subedi A, Basnet GB, Zahidi AAA, Adhikari HB.   +4 more
europepmc   +1 more source

A novel rapid non-contact detection method for frozen and thawed foods : Based on bio-impedance spectroscopy analysis and neural network (FCNN) recognition model. [PDF]

Curr Res Food Sci
Xu D, Wen Q, Xie Y, Yin W, Tang J.
europepmc   +1 more source