Results 221 to 230 of about 303,830 (309)
The nanoscale structural and chemical transformations in SrTiO3 under Swift‐Heavy‐Ion irradiation at grazing incidence are investigated, emphasizing the formation of well‐ordered nanohillocks at the surface of the material, demonstrating significant material decomposition in the created hillocks with: a phase separation of SrO and TiOx, a reduction in ...
Mohammad S. Jamal +12 more
wiley +1 more source
Thermo-Tuning Fourier Transform Spectrometer Based on SU-8 Waveguide. [PDF]
Shao Q, Ma X, Li M, He JJ.
europepmc +1 more source
By turning off hydrogen bonds by bulky ethyl cinnamate ester derivatization, softwood kraft lignin can flow under elevated temperatures, providing tough fiber in the melt for high take‐up speed. Subsequently, lignin ethyl cinnamate derivatives are readily stabilized with only dilute nitric acid leading to direct carbonized fiber with outstanding ...
Qi Hua +8 more
wiley +1 more source
Laboratory Quantification of Emissions from Wildland-Urban Interface Fuels Using Fourier-Transform Infrared Spectroscopy. [PDF]
Wang S +5 more
europepmc +1 more source
Most matter is nominally frozen in the polar regions or space, and liquid crystal materials are no exception. Consequently, soft actuators, including liquid crystal elastomers (LCEs), are inoperative under such extreme cold in response to stimuli, as their motion relies on mechanical deformation.
Hyeonseong Kim +5 more
wiley +1 more source
A coacervate charged polymer network is designed to regulate Coulomb interactions for stabilizing silicon anodes. By tuning electrostatic interactions, the binders enhance adhesion, stress dissipation, and interfacial stability. The binder with the strongest Coulomb interactions enables high areal capacities and stable full‐cell cycling with Ni‐rich ...
Dong‐Yeob Han +7 more
wiley +1 more source
Fourier-Transform Infrared Spectroscopy Analysis of 3D-Printed Dental Resins Reinforced with Yttria-Stabilized Zirconia Nanoparticles. [PDF]
Borș AI.
europepmc +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
This review shows how machine learning is revolutionizing mechanical, chemical, and biological pathways, overcoming traditional challenges and optimizing sorting, efficiency, and quality. It provides a detailed analysis of effective feature engineering strategies and establishes a forward‐looking research agenda for a truly circular thermoplastic ...
Rodrigo Q. Albuquerque +5 more
wiley +1 more source

