Results 171 to 180 of about 1,044,682 (335)

Recycling of Thermoplastics with Machine Learning: A Review

open access: yesAdvanced 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

MobsPy: A programming language for biochemical reaction networks. [PDF]

open access: yesPLoS Comput Biol
Cravo F, Prakash G, Függer M, Nowak T.
europepmc   +1 more source

Control Separation in programming languages [PDF]

open access: bronze, 1977
Michael James Lemon   +2 more
openalex   +1 more source

Understanding Functional Materials at School

open access: yesAdvanced 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

Rationale for the design of the Ada programming language [PDF]

open access: bronze, 1979
Jean D. Ichbiah   +5 more
openalex   +1 more source

Revealing the Auxetic Behavior of Biomimetic Multimaterial and Region‐Specific Nanofibrous Fascicle‐Inspired Scaffolds via Synchrotron Multiscale Digital Volume Correlation: Innovative Building Blocks for the Enthesis Regeneration

open access: yesAdvanced Functional Materials, EarlyView.
Enthesis injuries are a worldwide healthcare problem. Biomimetic electrospun enthesis fascicle‐inspired scaffolds, with and without nano‐mineralization are developed. Human Mesenchymal Stromal cells (hMSCs) express the most balanced enthesis markers on the non‐mineralized scaffolds.
Alberto Sensini   +11 more
wiley   +1 more source

Dynamic flow control through active matter programming language. [PDF]

open access: yesNat Mater
Yang F   +4 more
europepmc   +1 more source

Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System

open access: yesAdvanced Functional Materials, EarlyView.
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang   +6 more
wiley   +1 more source

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