Results 191 to 200 of about 508,394 (292)

Impact of Pre‐Oxidation Treatments on a Recycled MgO/Steel‐Composite as Carbon Free Anode in Aluminum‐Electrolysis Environments

Advanced Engineering Materials, EarlyView.
Cermets (60 vol.% AISI 316L stainless steel, 40 vol.% recycled MgO), intended for use in aluminum electrolysis, were pre‐oxidized in three furnaces with different heating technologies and subjected to a cryolite corrosion test. The different atmospheres influenced the formation of oxide layers, which in turn affected corrosion resistance and ...
Patricia Kaiser, Felix Drechsler, Nora Brachhold, Florian Kerber, Christos G. Aneziris   +4 more
wiley   +1 more source

Interpretable machine learning for optimized dimethyl ether production from bio-methanol. [PDF]

Sci Rep
Mokari M, Rahmani M, Atashrouz S.
europepmc   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Uncertainty Quantification for <i>In Silico</i> Chemistry. [PDF]

Chem Rev
Frömbgen T, Surzhikova E, Dölz J, Proppe J, Kirchner B, Jacob CR.   +5 more
europepmc   +1 more source

Numerical Exploration of Thermal Shock Resistance in MgO–C Refractories

Advanced Engineering Materials, EarlyView.
A mesostructure‐resolved numerical framework is developed to evaluate the thermal shock resistance of MgO–C refractories. By modeling interface debonding under rapid temperature changes and introducing a modified thermal shock parameter that accounts for mesocracks, the study shows how graphite content and aggregate size influence thermal shock ...
Jishnu Vinayak Gopi, Stephan Roth, Christos G. Aneziris, Bjoern Kiefer   +3 more
wiley   +1 more source

Machine learning in next-generation AEM fuel cells: a systematic review. [PDF]

RSC Adv
Ponnada S.
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced 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, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

An Accurate and Efficient Reaction Path Search with Iteratively Trained Neural Network Potential: Answering the Passerini Mechanism Controversy. [PDF]

J Chem Theory Comput
Staub R, Harabuchi Y, Seraphim C, Varnek A, Maeda S.   +4 more
europepmc   +1 more source

Microstructure Design of Steel‐Spinel Composites via Spark Plasma Sintering Process

Advanced Engineering Materials, EarlyView.
This study illustrates how spark plasma sintering at reduced oxygen partial pressure enables controlled formation of steel‐spinel composites through tailored redox reactions and cation exchange. Comparison of the MgO–Fe2O3, steel–(MgO+Cr2O3), and steel–(MgO+Fe2O3) systems shows how oxygen activity and interface chemistry govern spinel formation, phase ...
Mahnaz Mehdizadehlima, Christian Schimpf, Stefan Martin, Olga Fabrichnaya, David Rafaja   +4 more
wiley   +1 more source

Predicting Carbon Dot Photoluminescence: A Comparative Machine Learning Study on Systematic Synthesis Data. [PDF]

ACS Omega
Duman AN, Djoudi Y, Phillips S, Jalilov AS.   +3 more
europepmc   +1 more source