Results 61 to 70 of about 88,920 (217)
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
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 +10 more
wiley +1 more source
Two Series of Time in Logic, Natural Language, Computer Science and Artificial Intelligence
FILOSOFIE DNES, 2017 J. M. E. McTaggart famously divided time into two time series, which he entitled A-series and B-series. Although he was proponent of neither of them, his division initiated a discussion as to which of the series is prior or real. This paper follows Clifford Williams’s claim that these series are not as distant as their proponents argue they are.
openaire +3 more sources
Advanced Functional Materials, EarlyView.Janus (MoS2) transistors functionalized with sodium alginate (SA) and poly(vinylidene fluoride‐co‐trifluoroethylene) [P(VDF‐TrFE)] exhibit persistent photo‐induced ionic gating, driven by dynamic cation migration at the hybrid interface. This ionic mechanism enables finely tunable photoconductivity and emulates key synaptic plasticity behaviors ...
Yeonsu Jeong +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A 3D‐architected auxetic metamaterial is used to construct capacitive and resistive tactile sensors via digital light processing‐based additive manufacturing. The inward deformation of the proposed structure under compression amplifies local strain, enhancing sensing performance.
Mingyu Kang +3 more
wiley +1 more source
CancersArtificial intelligence (AI), the wide spectrum of technologies aiming to give machines or computers the ability to perform human-like cognitive functions, began in the 1940s with the first abstract models of intelligent machines. Soon after, in the 1950s and 1960s, machine learning algorithms such as neural networks and decision trees ignited ...
Michele Avanzo +4 more
openaire +2 more sources
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
Biosupercapacitors for Human‐Powered Electronics
Advanced Functional Materials, EarlyView.Biosupercapacitors are emerging as biocompatible and integrative energy systems for next‐generation bioelectronics, offering rapid charge–discharge performance and mechanical adaptability. This review systematically categorizes their applications from external to organ‐level systems and highlights their multifunctional roles in sensing, actuation, and ...
Suhyeon Kim +7 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A nanofiber/graphene hybrid yarn with 1D oriented nanoscale channel is constructed via bath electrospinning followed by a functionalization process, yielding exceptional anti‐swelling and weaving abilities. When configured into a waterproof fabric through series‐parallel connection of 62‐cm yarns, an output power of 31.96 µW is achieved, which could ...
Yuman Zhou +6 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A sequence‐encoded supramolecular construct containing two accessible toeholds is developed herein for enabling multiple editing operations. By introducing specific input strands, it is possible to selectively erase or rewrite digital content through parallel or series toehold‐mediated strand displacement (PTMSD or STMSD).
Jakub Ossowski +3 more
wiley +1 more source