Results 211 to 220 of about 6,611,777 (348)

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

Consumer Data is Key to Artificial Intelligence Value: Welcome to the Health Care Future. [PDF]

J Particip Med
C J.
europepmc   +1 more source

From Exciton Dynamics to Cell Fate: A Carbon Dot Based NIR Photocatalytic Platform for Pyroptosis via Self‐Trapped Excitons

Advanced Functional Materials, EarlyView.
A facile and effective method to boost NIR light induced photocatalysis based on nontoxic NIR emissive carbon dots (nir‐CDs) via Self‐trapped excitons, showing that both O2− • and •OH can be generated from nir‐CDs under NIR laser irradiation. Abstract Near‐infrared (NIR) light‐triggered photocatalytic therapy remains a critical challenge in efficient ...
Qingcheng Wang, Quansheng Cheng, Bingzhe Wang, Tesen Zhang, Yupeng Liu, Ruifeng Zheng, Shi Chen, Guichuan Xing, Songnan Qu   +8 more
wiley   +1 more source

Multi-Agent Reinforcement Learning in Games: Research and Applications. [PDF]

Biomimetics (Basel)
Li H, Yang P, Liu W, Yan S, Zhang X, Zhu D.   +5 more
europepmc   +1 more source

Protophilic TiOx/Ti3C2Tz Nanosheets for Hyper‐Efficient Closed‐Loop Pd Recycling

Advanced Functional Materials, EarlyView.
Protophilic TiOx/Ti3C2Tz NSs enable selective Pd(II) recovery through in situ adsorption‐reduction into Pd(0) NPs from spent catalyst leachates and industrial wastewaters. The resulting Pd/NS composites are directly upcycled as efficient HER electrocatalysts or regenerated for reuse through controlled surface regeneration.
Youngkyun Jung, Shi‐Hyun Seok, Minki Jun, Kyung‐Seok Lee, Yun Lee, Seungchul Kim, Keunsu Choi, Jin Young Kim, Jae‐Woo Choi   +8 more
wiley   +1 more source

Proceedings of the eleventh Workshop on Answer Set Programming and Other Computing Paradigms 2018

, 2018
Jorge Fandinno, Johannes K. Fichte
openalex   +2 more sources

Toward the 3rd Generation of Smart Farming: Materials, Devices, and Systems for E‐Plant Technologies

Advanced Functional Materials, EarlyView.
This review explores the latest developments in e‐plant technologies, which are revolutionizing smart farming by enabling real‐time monitoring of plant and environmental conditions. It covers the design, applications, and systems of e‐plant devices, detailing how they integrate data analytics to optimize agricultural practices, enhance crop yields, and
Daegun Kim, Jonghyun Won, Hyeongmin Park, Jun‐Gyu Choi, Sungjun Park, Giwon Lee   +5 more
wiley   +1 more source

π‐Bridge Engineering of Nonfullerene Acceptors for Organic Photodiodes: Extension of the Near Infrared Response Beyond 1200 nm

Advanced Functional Materials, EarlyView.
A π‐bridge engineering strategy enhances intramolecular charge transfer, enabling non‐fullerene acceptors to extend near‐infrared absorption beyond 1200 nm. The resulting organic photodiodes exhibit high detectivity and fast response. These high‐performance devices demonstrate practical potential in photoplethysmography and optical wireless ...
Meng Qiang Li, Minyoung Jeong, Byeongchan Park, Shabaz Alam, Jeongmin Lee, Hyunji Lee, Jaewon Lee, Kilwon Cho   +7 more
wiley   +1 more source

Physical education teaching design under the STEAM concept using the convolutional neural network. [PDF]

Sci Rep
Fu H.
europepmc   +1 more source

Halide Perovskite Radiation Detectors: Conventional Imaging Applications and New Opportunities

Advanced Functional Materials, EarlyView.
Organic–inorganic hybrid halide perovskite (OIHP) semiconductors, owing to their exceptional optoelectronic properties, are emerging as promising next‐generation integrated radiation detectors for applications in medical radiodiagnosis and healthcare monitoring.
Dou Zhao, Yeon‐Woo Choi, Tomoyuki Yokota, Takao Someya, Nam‐Gyu Park   +4 more
wiley   +1 more source