Results 161 to 170 of about 40,728 (213)
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold +2 more
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A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
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Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu +10 more
wiley +1 more source
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
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Phase‐field simulations coupled with dislocation‐density‐based crystal plasticity modeling reproduce γ′ rafting behavior in single‐crystal Ni‐based superalloys under varied loading conditions. The model captures both macroscopic creep and microscopic morphology evolution, with results matching high‐temperature creep experiments.
Micheal Younan +5 more
wiley +1 more source
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
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Ordered growth of neurons on diamond
Biomaterials, 2004Diamond has a number of unique properties that make it an attractive electronic and bio-electronic material. Here we show the ordered growth of mammalian neurons, the principal electrogenic cells of the nervous system, on diamond. Proteins were specifically patterned on diamond surfaces by micro-contact printing.
Christian G, Specht +3 more
openaire +2 more sources
Growth of order in order-disorder transitions: Tests of universality
Physical Review B, 1985Renormalization-group methods developed previously to treat the growth of order in unstable systems are extended and applied to the antiferromagnetic spin-exchange (AF SE) model for order-disorder transitions in binary alloys. The number-conservation law and fixed-length sum rule are properly preserved.
Zhang, FC, Valls, OT, Mazenko, GF
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Nucleation and growth in order-to-order transitions of a block copolymer
Europhysics Letters (EPL), 2000A poly(isoprene-b-ethyleneoxide) diblock undergoes multiple ordered state transitions: from a crystalline lamellar (Lc), to a hexagonal (Hex) mesophase, to a bicontinuous cubic phase (Gyroid) before disordering (Dis). We have studied the kinetics of the Hex-to-Gyroid, Hex-to-Lc and Lc-to-Gyroid transitions using synchrotron SAXS and rheology.
Floudas, G. +3 more
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Entire Functions of Small Order of Growth
Computational Methods and Function Theory, 2011The authors study the growth of composite entire functions. They prove that if \(f\) is a transcendental entire function and \(F\) is an entire function satisfying \[ \log M(r,F)=K(\log r)^p(1+o(1)),\tag{\(*\)} \] then, \[ \log M(r,F(f))=K\left(\log M(r,f)\right)^p(1+o(1)).
Ishizaki, Katsuya, Yanagihara, Niro
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