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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
Tensile Behavior and Failure Mechanism of Bamboo Fiber Bundle and Its Scrimber Under Different Strain Rates. [PDF]
Zhang K +7 more
europepmc +1 more source
Crossover behavior in a mixed-mode fiber bundle model [PDF]
Srutarshi Pradhan +2 more
openalex +1 more source
A scalable biomimetic platform transforms bioinert poly(ethylene glycol) diacrylate into neuroinstructive matrices via integrating solvent transfer‐induced phase separation, microfluidics, and 3D bioprinting. Bicontinuous, hyperbolically curved microporous networks embedded within a fibrous construct elicit rapid adhesion, robust proliferation, and ...
Prince D. Okoro +8 more
wiley +1 more source
The effect of storing fiber, fiber bundle, and whole muscle in glycerinated solution on their passive elastic modulus. [PDF]
Dehghan-Hamani I, Brown SHM, Oxland TR.
europepmc +1 more source
Simulation of Leather Visco-Elastic Behavior Based on Collagen Fiber-Bundle Properties and a Meso-Structure Network Model. [PDF]
Dietrich S +11 more
europepmc +1 more source
On analytic fiber bundles—I holomorphic fiber bundles with infinite dimensional fibers
openaire +1 more source
Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation
Micro/nanofiber porous materials have engendered great interest in the thermal insulation field. Herein, the structural designs, fabrication techniques, and applications of the micro/nanofiber thermal insulation materials are systematically summarized.
Xiaobao Gong +5 more
wiley +1 more source

