Results 231 to 240 of about 4,666,365 (388)
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
Computational insights into silver oxide nanoparticles on flow and Cattaneo-Christov heat flux through a Koo and Kleinstreuer model: A heat transfer application. [PDF]
Alfannakh H+3 more
europepmc +1 more source
An h-p adaptive finite element method for the numerical simulation of compressible flow
Philippe R.B. Devloo+2 more
openalex +2 more sources
Stability properties of regular flows of heat-conducting compressible fluids [PDF]
Mariarosaria Padula
openalex +1 more source
This work presents a soft microelectrode array based on vertically aligned carbon nanotube (CNT) forests, combining high conductivity with mechanical softness. A densification process and air‐pressure‐assisted flexibilization improve structural integrity, ensuring stable insertion and reduced inflammation.
Hyeonhee Roh+8 more
wiley +1 more source
3D Printing of Functional Mesoporous Silica Monoliths with Embedded Metal and MOF Components
This article presents the development of silica nanocage‐based nano‐inks tailored for digital light processing 3D printing, enabling automated additive manufacturing of mesoporous monoliths. Novel strategies for incorporating metal sites and inducing in situ growth of metal‐organic frameworks are introduced.
Thomas Gaillard+7 more
wiley +1 more source
Comparative numerical study of highly nonlinear flip-through impact experiment. [PDF]
Kesanapalli C, Kang H.
europepmc +1 more source
Development of the US3D Code for Advanced Compressible and Reacting Flow Simulations
G. Candler+6 more
semanticscholar +1 more source
The Hierarchical Structure of Sheep Wool and Its Impact on Physical Properties
Sheep wool, a prevalent α‐keratinous fiber, is an essential model for studying protein‐based fibers. Its genetic diversity across breeds enables the establishment of multiscale structure‐property relationships, uncovering previously elusive insights into wool's hierarchical structure.
Serafina R. France Tribe+9 more
wiley +1 more source