Results 291 to 300 of about 3,408,458 (372)
Microstructure Evolution and Damage Mechanism of DD9 Single Crystal Superalloy-Thermal Barrier Coating System Under High Temperature Oxidation: A Comparative Study with DD6. [PDF]
Li P, Xin Z, Sun F, Jin X, Zhang C.
europepmc +1 more source
A roll‐to‐roll exfoliation method is demonstrated that preserves the crystallographic alignment of anisotropic 2D materials over large areas, enabling scalable fabrication of directional electronic and optoelectronic devices. Abstract Anisotropic 2D materials such as black phosphorus (BP), GeS or CrSBr, exhibit direction‐dependent optical and ...
Esteban Zamora‐Amo +14 more
wiley +1 more source
Microstructure evolution during solution annealing of an Al-Zn-Mg-Cu alloy with La additions. [PDF]
Balaško T, Nagode A, Li J, Medved J.
europepmc +1 more source
In situ TEM uncovers the atomic‐scale mechanisms underlying hydrogen‐driven γ‐Fe2O3→Fe3O4→FeO reduction. In γ‐Fe2O3, oxygen vacancies cluster around intrinsic Fe vacancies, leading to nanopore formation, whereas in Fe3O4, vacancy aggregation is suppressed, preserving a dense structure.
Yupeng Wu +14 more
wiley +1 more source
Alloying effects on deformation induced microstructure evolution in copper. [PDF]
Pokharel R +15 more
europepmc +1 more source
The self‐healable ratiometric mechano‐fluorescent polyurethane (PU) organogel is constructed by incorporating a minor amount (ca. 1.5 wt.%) of the unconventional daisy chain rotaxane (as an artificial molecular muscle toughener) with specific sliding motions and ratiometric emission behaviors into the PU skeleton, which reveals the progressed intrinsic
Tu Thi Kim Cuc +7 more
wiley +1 more source
Study on the Microstructure Evolution and Ablation Mechanism of SiC<sub>p</sub>/Al Composites Processed by a Water-Jet Guided Laser. [PDF]
Yin W, Yu Z, Xing G, Yang F, Dong Z.
europepmc +1 more source
Evolution of Copper Microstructure Subjected to Equal Channel Angular Pressing
Carmela Gurău, Gheorghe Gurău
openalex +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
Pothos: A Python Package for Polymer Chain Orientation and Microstructure Evolution Monitoring. [PDF]
Barrett TJ, Minus ML.
europepmc +1 more source

