Results 281 to 290 of about 4,288,634 (382)

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, Florian Stephan, Annalena Pongratz, Christian Brütting, Katharina Krause, Holger Ruckdäschel   +5 more
wiley   +1 more source

Machine learning and bifurcation analysis in a discrete predator-prey model with neem-induced mortality. [PDF]

Sci Rep
Mehmood T, Rafaqat M, Saleem S, Merga FE.   +3 more
europepmc   +1 more source

Advances in Micro/Nanofiber‐Based Porous Materials for High‐Performance Thermal Insulation

Advanced Functional Materials, EarlyView.
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, Shuo Shi, Jing Yin, Rong Liu, Jianming Chen, Xungai Wang   +5 more
wiley   +1 more source

Invasion dynamics of super invaders: elimination of Allee effects by a strategy at the range boundary. [PDF]

J Math Biol
Du Y, Li L, Ni W, Shabgard N.
europepmc   +1 more source

On a Hybrid Method for Generalized Mixed Equilibrium Problem and Fixed Point Problem of a Family of Quasi- -Asymptotically Nonexpansive Mappings in Banach Spaces

, 2010
Min Liu, Shih-sen Chang, Zuo Ping
openalex   +1 more source

The Synergy of Artificial Intelligence and 3D Bioprinting: Unlocking New Frontiers in Precision and Tissue Fabrication

Advanced Functional Materials, EarlyView.
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi, Irem Deniz Derman, Deepak Gupta, Logan Haugh, Yogendra Pratap Singh, Vaibhav Pal, Yasar Ozer Yilmaz, Suihong Liu, Andre Luis Dias, Rogerio Andrade Flauzino, Ibrahim Tarik Ozbolat   +10 more
wiley   +1 more source

Generalized Robust Optimization using the Notion of Set-Valued Probability. [PDF]

J Optim Theory Appl
Torre D, Mendivil F, Rocca M.
europepmc   +1 more source

Understanding Functional Materials at School

Advanced Functional Materials, EarlyView.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Composites of Shellac and Silver Nanowires as Flexible, Biobased, and Corrosion‐Resistant Transparent Conductive Electrodes

Advanced Functional Materials, EarlyView.
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein, Tiago Carneiro Gomes, Eliza Ng, Simon Rondeau‐Gagné, Tricia Breen Carmichael   +4 more
wiley   +1 more source

Kinematical error analysis and autonomous calibration of a 5PUS-RPUR parallel robot. [PDF]

PLoS One
Wang Z, Li Y, Chen B, Ding K, Zhu J, Zhuang M.   +5 more
europepmc   +1 more source