Results 61 to 70 of about 13,300 (260)

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

Forecasting Transient Fuel Consumption Spikes in Ships: A Hybrid DGM-SVR Approach

Eng
Accurate prediction of ship fuel consumption is essential for improving energy efficiency, optimizing mission planning, and ensuring operational integrity at sea.
Junhao Chen, Yan Peng
doaj   +1 more source

Side‐Chain‐Induced Interlayer Slipping in Metalloporphyrin COFs Enables Microenvironment and Spin‐State Regulation for Photocatalytic CO2 Reduction

Advanced Materials, EarlyView.
Alkoxy chain length drives a continuous transition from eclipsed AA to a serrated, slipped AA* configuration over Co‐porphyrin COFs. A moderate slip both contracts the pore channel to enrich CO2 and suppress hydrogen evolution, and enhances collective high‐spin of Co sites, which delivers a record CO production rate with high selectivity.
Jie He, Qingxuan Chen, Minxian Zhang, Wenhao Zhao, Aoni Xu, Jinqiang Zhang, Hongqi Sun, Shaobin Wang, Xiaoguang Duan   +8 more
wiley   +1 more source

Research on Energy Saving for Hybrid Tractor Based on Working Condition Prediction and DDPG-Fuzzy Control

World Electric Vehicle Journal
To significantly reduce fuel consumption and improve fuel economy in hybrid tractor under complex working conditions, an energy—saving strategy based on working condition prediction and Deep Deterministic Policy Gradient and Fuzzy control (DDPG-Fuzzy ...
Shilong Fan, Xianghai Yan, Shuaishuai Ge, Junjiang Zhang, Mengnan Liu   +4 more
doaj   +1 more source

Esterified Cholesterol Conjugates Enable LNP‐Mediated mRNA Delivery to the Blood–Brain Barrier Following Intravenous Administration

Advanced Materials, EarlyView.
A cholesterol‐conjugated lipid library enabled the identification of a ligand‐free LNP platform for efficient mRNA delivery to brain endothelial cells via systemic administration. This platform achieves selective BBB targeting without disrupting barrier integrity, and enables modulation of neuroinflammation and vascular function without requiring trans‐
Zeru Tian, Xu Wang, Alexis Pacheco Benitez, Erick Guerrero, Yaou Duan, Jingwen Wei, Lukas Farbiak, Daniel J. Siegwart   +7 more
wiley   +1 more source

Robust Multi-Phase Vertical Recovery Guidance for Reusable Launch Vehicles Integrated with Full-Flight Fuel Consumption Prediction

Aerospace
Focusing on the vertical return mission scenario of reusable launch vehicles, analytical guidance methods commonly adopted in existing research lack effective fuel prediction mechanisms, which severely restricts the mission reliability and fuel economy ...
Jiahao Gan, Yuanpeng Fang, Tie Su, Jin Zhang   +3 more
doaj   +1 more source

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

Advanced Materials Interfaces, EarlyView.
This review systematically evaluates synthesis routes for tri‐ and multi‐doped graphene, from hydrothermal and pyrolysis methods to flash Joule heating, critically assessing how each governs dopant incorporation, bonding configuration, and resulting electronic properties.
Maria Hasan, Alicja Bachmatiuk, Gražyna Simha Martynková, Karla Čech Barabaszová, Mark Hermann Rümmeli   +4 more
wiley   +1 more source

Advanced MXene‐Based Multifunctional Nanoarchitecture Materials Engineered for Adsorptive Cleanup of Hazardous Radioactive Pollutants: A Comprehensive Critical Review

Advanced Materials Interfaces, EarlyView.
This work critically reviews MXenes as highly effective multifunctional nanomaterials for the adsorption of radio‐contaminants, demonstrating a remarkable adsorption capacity of up to 1376.75 mg/g and cyclic stability of 2–8 cycles, with complexation, electrostatic interactions, and the numerical strength of MXene active sites playing a key operational
Stephen Sunday Emmanuel, Shepherd M. Tichapondwa   +1 more
wiley   +1 more source

Fuel Consumption Prediction Using Bayesian Neural Networks

Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
Transportation is one of the necessities of life. Because humans need transportation to move from one location to another. Transportation requires fuel. On the other hand, fuel consumption is important and must be controlled. This is because fuel can come from both renewable and non-renewable energy sources, depending on the type and process of its ...
Syarifah Diana Permai, Jurike V Moniaga, Zener Sukra Lie, Ferry Jie   +3 more
openaire   +3 more sources

Energy parameter modeling in plug-in hybrid electric vehicles using supervised machine learning approaches

e-Prime: Advances in Electrical Engineering, Electronics and Energy
In this study, supervised machine learning techniques like random forest (RF), K-nearest neighbour (KNN), multiple linear regression (MLR), and artificial neural networks (ANNs) were used to predict energy parameters in plug-in hybrid electric vehicles ...
Bukola Peter Adedeji
doaj   +1 more source