Results 51 to 60 of about 13,300 (260)

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

Charge‐Polarized Ni─S4 Single‐Atom Sites Drive Selective Photoreforming of Poly(lactic acid) to Lactate and Hydrogen

Advanced Functional Materials, EarlyView.
Atomically dispersed Ni–S4 sites on CdS nanorods induce interfacial charge polarization, directing photogenerated electrons to H2 evolution and holes to selective ester‐bond cleavage of poly(lactic acid). Without sacrificial reagents, this charge‐coupled system produces lactate while suppressing overoxidation, achieving an H2 evolution rate of 41.74 ...
Yu Yao, Panpan Zhang, Jinqiang Zhang, Xi‐lin Wu, Tara Pukala, Yifei Wang, Bernt Johannessen, Shaobin Wang, Xiaoguang Duan   +8 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 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

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Polymeric Sorbents as Energy‐Efficient Alternative to Cryogenic Distillation for Light Hydrocarbon Purification

Advanced Materials, EarlyView.
The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus, Ankit Mondal, Suman Mandal, Jazmine Aiya D. Marquez, Arnab Ghosh, Aishi Sikdar, Urme Podder, Ahana Sarkar, Qingsheng Wang, Hong‐Cai Zhou   +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

Models for Predicting Fuel Consumption in Sagebrush-Dominated Ecosystems [PDF]

Rangeland Ecology & Management, 2013
Fuel consumption predictions are necessary to accurately estimate or model fire effects, including pollutant emissions during wildland fires. Fuel and environmental measurements on a series of operational prescribed fires were used to develop empirical models for predicting fuel consumption in big sagebrush (Artemisia tridentata Nutt.) ecosystems ...
openaire   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Effective Modeling of CO₂ Emissions for Light-Duty Vehicles: Linear and Non-Linear Models with Feature Selection

Energies
Predictive modeling is important for assessing and reducing energy consumption and CO2 emissions of light-duty vehicles (LDVs). However, LDV emission datasets have not been fully analyzed, and the rich features of the data pose challenges in prediction ...
Hang Thi Thanh Vu, Jeonghan Ko
doaj   +1 more source