Results 241 to 250 of about 305,322 (303)

Novel Functional Materials via 3D Printing by Vat Photopolymerization

Advanced Functional Materials, EarlyView.
This Perspective systematically analyzes strategies for incorporating functionalities into 3D‐printed materials via Vat Photopolymerization (VP). It explores the spectrum of achievable functionalities in recently reported novel materials—such as conductive, energy‐storing, biodegradable, stimuli‐responsive, self‐healing, shape‐memory, biomaterials, and
Sergey S. Nechausov, Patrick Fesser, Boris A. Bulgakov, Ulrich S. Schubert   +3 more
wiley   +1 more source

Efficient Dataset Creation for MEMS-Based Magnetic Sensor Systems in Intelligent Transportation Applications. [PDF]

Sensors (Basel)
Hodoň M, Šarafín P, Formanek L, Kociánová A.   +3 more
europepmc   +1 more source

Carbon Contacts to Proteins Enable Robust, Biocompatible Electronic Junctions with Near‐Activation‐less Conduction Down to 10 K

Advanced Functional Materials, EarlyView.
A robust solid‐state protein junction with a semi‐transparent eC/Au electrode allows photoexcitation of the bacterio‐rhodopsin, bR layer, to isomerize the bR retinal. The resulting photo‐response shows the protein is functional in the solid‐state junction.
Shailendra K. Saxena, Sudipta Bera, Tatyana Bendikov, Israel Pecht, Mordechai Sheves, David Cahen   +5 more
wiley   +1 more source

Advances in rice seedling cultivation techniques in China: a comprehensive review. [PDF]

Front Plant Sci
Yang X, Yang Z, Zhao C, Li G, Li J.
europepmc   +1 more source

Self‐Powered Permeable Electronic Dressing for Exudate Management, Electrostimulation and Drug Delivery in Chronic Wound Healing

Advanced Functional Materials, EarlyView.
This study develops a self‐powered permeable electronic dressing (SPED) that synergistically integrates exudate management, electrical stimulation, and on‐demand drug delivery. The dressing effectively absorbs exudate while demonstrating potent antibacterial activity and accelerated tissue regeneration in diabetic mouse models, thereby promoting ...
Jiaheng Liang, Jingjing Fu, Jin Chai, Hongyu Jiang, Fan Chen, Yufei Zhang, Weihao Zhao, Xian Song, Zhihao Zhou, Lingtao Fang, Qiyao Huang, Peng Li, Zijian Zheng   +12 more
wiley   +1 more source

User perspectives on intelligent transportation systems

, 2013
Jana Sochor
openalex   +1 more source

Sustainable cyber-physical VANETs with AI-driven anomaly detection and energy-efficient multi-criteria routing using machine learning algorithms. [PDF]

Sci Rep
Wong WK, Baskar S, Abubeker KM, Ng PK.
europepmc   +1 more source

Electrocatalytic Reduction of CO2 to Ethylene: Catalyst Design and Synchrotron‐Based Characterizations

Advanced Functional Materials, EarlyView.
This review evaluates strategies for electrochemical CO2 reduction to ethylene, focusing on copper‐based catalyst design and microenvironment modulation to achieve industrial‐grade performance. By leveraging operando synchrotron‐based characterizations, we provide a multiscale understanding of dynamic structural transformations and key reaction ...
Meng Zhang, Zuolong Chen, Yimin A. Wu
wiley   +1 more source

Deep learning and TOPSIS-based multi-criteria decision-making framework for urban road defect detection and sustainable maintenance planning. [PDF]

Sci Rep
Zhong Z, Ren Z.
europepmc   +1 more source

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source