Results 51 to 60 of about 11,890 (266)

Bio‐Inspired Molecular Events in Poly(Ionic Liquids)

Advanced Functional Materials, EarlyView.
Originating from dipolar and polar inter‐ and intra‐chain interactions of the building blocks, the topologies and morphologies of poly(ionic liquids) (PIL) govern their nano‐ and micro‐processibility. Modulating the interactions of cation‐anion pairs with aliphatic dipolar components enables the tunability of properties, facilitated by “bottom‐up ...
Jiahui Liu, Marek W. Urban
wiley   +1 more source

Liquid Phase Transmission Electron Microscopy: A Window into the Early Stages of Complex Material Formation

Advanced Functional Materials, EarlyView.
Liquid‐phase transmission electron microscopy enables direct observation of nucleation and growth processes in solution. This review is dedicated to the remembrance of Helmut Cölfen and highlights recent studies on complex materials—oxides, biominerals, organic–inorganic crystals—which were central to his research activity. It summarizes key milestones,
Charles Sidhoum, Vinavadini Ramnarain, Nathaly Ortiz Peña, Dris Ihiawakrim, Clément Sanchez, Ovidiu Ersen   +5 more
wiley   +1 more source

Model-based estimation of light-duty vehicle fuel economy at high altitude

Advances in Mechanical Engineering, 2019
In order to estimate the light-duty vehicle fuel economy at high-altitude areas, the coast-down tests of a passenger car on level road were conducted at different elevations, and the coast-down resistance coefficients were calculated. Furthermore, a fuel
Lijun Hao, Chunjie Wang, Hang Yin, Chunxiao Hao, Haohao Wang, Jianwei Tan, Xin Wang, Yunshan Ge   +7 more
doaj   +1 more source

Accelerated Discovery of High Performance Ni3S4/Ni3Mo HER Catalysts via Bayesian Optimization

Advanced Functional Materials, EarlyView.
Integrated workflow accelerates the catalyst discovery of hydrogen evolution reaction via Bayesian optimization. An experiment‐trained surrogate model proposes synthesis conditions, guiding iterative refinement using electrochemical performance metrics.
Namuersaihan Namuersaihan, Zhiqiang Zhao, Oliver J. Conquest, Ying Shu, Haoyue Sun, Chunjing Su, Qi Cheng, Aloysius Soon, Catherine Stampfl, Jun Huang   +9 more
wiley   +1 more source

A Real-Time Energy Management Strategy Based on Energy Prediction for Parallel Hybrid Electric Vehicles

IEEE Access, 2018
Hybrid electric vehicle (HEV) technology is an effective way to resolve the problems of energy consumption and air pollution. Energy management strategies are critical to the performance of HEVs.
Shaojian Han, Fengqi Zhang, Junqiang Xi
doaj   +1 more source

Machine Learning and Predictive Analysis of Fossil Fuels Consumption in Mid-Term [PDF]

ICST Transactions on Scalable Information Systems, 2017
In economies that are dependent on fossil fuel revenues, Realization of long-term plans, mid-term and annual budgeting requires a fairly accurate estimation of the amount of consumption and its price fluctuations. Accordingly, the present study is using machine learning techniques to predict the usage of fossil fuels (Diesel, Black oil, Heating oil ...
Amerion, Mahmood, Amerion, Mohsen, Hosseini, Mohammadmehdi, Gharahbaugh, Abdorreza Alavi   +3 more
openaire   +3 more sources

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

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

Molecular Templating Enables Precise CeNiC2/Ni Heterostructures for Efficient Alkaline Hydrogen Oxidation

Advanced Functional Materials, EarlyView.
A series of Bi‐TMCs‐based heterostructures (CeNiC2/Ni‐x%) have been precisely constructed through a “molecular‐template”‐assisted strategy, which exhibits remarkable alkaline HOR performance derived from the strong synergy between Ni and CeNiC2 components.
Xi Yin, Xue‐Qian Wu, Yi Yuan, Ya‐Pan Wu, Shuang Li, Guangtong Hai, Shuhui Sun, Dong‐Sheng Li   +7 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