Results 151 to 160 of about 2,175,580 (244)

A practical guide to unbinned unfolding. [PDF]

Eur Phys J C Part Fields
Canelli F, Cormier K, Cudd A, Gillberg D, Huang RG, Jin W, Lee S, Mikuni V, Miller L, Nachman B, Pan J, Pani T, Pettee M, Song Y, Acosta FT.   +14 more
europepmc   +1 more source

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

Ground-state orbital angular momentum lasing from liquid crystal torons embedded in a microcavity. [PDF]

Sci Adv
Muszyński M, Bobylev D, Kapuściński P, Oliwa P, Mędrzycka J, Oton E, Mazur R, Morawiak P, Piecek W, Kula P, Solnyshkov D, Malpuech G, Szczytko J.   +12 more
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

Unsupervised multimodal deep learning for galaxy morphology taxonomy: integrating ConvNeXtEmbeddings and morphological parameters for scalable survey science. [PDF]

Sci Rep
Selim IM, Farahat AS, Basmsm LH, El-Hameed AMA.   +3 more
europepmc   +1 more source

Parameter Variation in Planetary Ball Milling of Titanium Aluminide Powder in XHV‐Adequate Atmosphere

Advanced Engineering Materials, EarlyView.
This study investigates the effects of milling parameters, including rotational speed, milling duration, and ball‐to‐powder ratio, on TiAl particle size and morphology in an XHV‐equivalent atmosphere. The creation of oxide‐free surfaces enhances the mechanical properties of green bodies.
Jytte Möckelmann, Armin Piwek, Julius Peddinghaus, Kai Brunotte, Bernd-Arno Behrens   +4 more
wiley   +1 more source

Smile-shaped electron gradient distributions observed during magnetic reconnection at Earth's magnetopause. [PDF]

Commun Phys
Shuster JR, Bessho N, Dorelli JC, Gershman DJ, Beedle JMH, Gurram H, Ng J, Chen LJ, Torbert RB, Burch JL, Giles BL, Denton RE, Cassak PA, Barbhuiya MH, Schwartz SJ, Liu YH, Norgren C, da Silva DE, Genestreti KJ, Heuer SV, Argall MR, Karimi H, Marshall AT, Nakamura R, Liang H, Uritsky VM, Afshari A, Payne DS.   +27 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

Turbulent dynamo in the terrestrial magnetosheath. [PDF]

Nat Commun
Vörös Z, Roberts OW, Narita Y, Yordanova E, Nakamura R, Settino A, Schmid D, Volwerk M, Simon Wedlund CL, Varsani A, Sorriso-Valvo L, Bourdin PA, Kis Á.   +12 more
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