Results 101 to 110 of about 194,500 (201)
Advanced Functional Materials, EarlyView.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
Erratum: Changes in the Raman spectrum of LiI
, 1982 F. E. A. Melo, F. Cerdeira
openalex +1 more source
Advanced Functional Materials, EarlyView.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
Epitaxial growth of BaHfO3 buffer layer and its structure degeneration analysed by Raman spectrum [PDF]
, 2016 Jiahui Zheng +8 more
openalex +1 more source
Advanced Functional Materials, EarlyView.A cerium oxide‐carbon nanohybrid catalyst is synthesized via two distinct routes and is integrated into H‐type cells and gas diffusion layers (GDLs) to enhance electrochemical performance. Structural variations significantly affect performance, with the solvothermal sample exhibiting higher current densities.
Alessia Pollice +9 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A 3D bone scaffold with osteogenic properties and capable of hardening in vivo is developed. The scaffold is implanted in a ductile state, and a phase transformation of the ceramic induces the stiffening and strengthening of the scaffold in vivo. Abstract Calcium phosphate 3D printing has revolutionized customized bone grafting.
Miguel Mateu‐Sanz +7 more
wiley +1 more source
The effect of DNA bases permutation on surface-enhanced Raman scattering spectrum [PDF]
, 2021 Shimon Rubin +5 more
openalex +1 more source
Recycling of Thermoplastics with Machine Learning: A Review
Advanced Functional Materials, EarlyView.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