Results 41 to 50 of about 13,300 (260)

A Machine Learning Predictive Model for Ship Fuel Consumption

Applied Sciences
Water navigation is crucial for the movement of people and goods in many locations, including the Amazon region. It is essential for the flow of inputs and outputs, and for certain Amazon cities, boat access is the only option. Fuel consumption accounts for over 25% of a vessel’s total operational costs.
Rhuan Fracalossi Melo, Nelio Moura de Figueiredo, Maisa Sales Gama Tobias, Paulo Afonso   +3 more
openaire   +3 more sources

Coordinated Architectural and Chemical Reinforcement in the Crushing Mandible of a Soldier Termite

Advanced Functional Materials, EarlyView.
The crushing mandible of a soldier termite withstands substantial biting loads despite lacking mineral. Its cuticle is partitioned: convex teeth pair hardness and zinc enrichment with aligned chitin fibers for contact durability, while stiffer concave regions between teeth carry bending loads.
Andrew Tran Nguyen, Patryk Wąsik, Juan Fernando Cucuyame Morales, Marie Kate Palau, Adrian Francisco Duran Ornelas, Phani Saketh Dasika, Jin Hee Kim, Radhika Laxminarayana, Eric Hintsala, Greta Chang, Junzhi Liao, Lizhi Sun, Nathan Lord, Atsushi Arakaki, Paul Bardunias, Pablo Zavattieri, David Kisailus   +16 more
wiley   +1 more source

Balancing Hydrophobicity and Hydrophilicity: Dual Filler‐Engineered Proton Exchange Membranes for Durable, High‐Power Fuel Cells

Advanced Functional Materials, EarlyView.
Polarity‐matched Zr–MOFs program Nafion's nanoscale morphology during solution casting. Hydrophilic UiO‐66 preserves hydrated pathways, while hydrophobic UiO‐67 increases the proton hopping sites by densifying ionic clusters. Combining both fillers yields a membrane that delivers 176 mS cm−1 conductivity, reaches 1.46 W cm−2 under 200 kPa, and triples ...
Yonghwi Cho, Yunseong Ji, Minkyu Choi, Junsu Kim, Yejin Kim, Su Jeong Lee, Wooyoung Choi, Choong Hoo Lee, Ju Yeon Kim, Ohchan Kwon, Hanim Kim, Du Yeol Ryu, Ki Chul Kim, Dae Woo Kim   +13 more
wiley   +1 more source

Use of Artificial Neural Networks to Predict Fuel Consumption on the Basis of Technical Parameters of Vehicles

Energies, 2021
This publication presents a multi-faceted analysis of the fuel consumption of motor vehicles and the way human impacts the environment, with a particular emphasis on the passenger cars.
Jarosław Ziółkowski, Mateusz Oszczypała, Jerzy Małachowski, Joanna Szkutnik-Rogoż   +3 more
doaj   +1 more source

Bacterial Cellulose‐Based Bilayer Passive Cooler for High‐Performance Radiative/Evaporative Cooling

Advanced Functional Materials, EarlyView.
A sustainable bilayer passive cooler based on bacterial cellulose integrates radiative and evaporative cooling for efficient zero‐energy temperature reduction. The scalable, low‐carbon material shows strong potential for food preservation, low‐temperature storage, and cold‐chain logistics.
Yibing Zhang, Da‐Wen Sun, Liang Xu, You Tian, Libin Sun, Rui Hu, Shiwei Zheng   +6 more
wiley   +1 more source

Improving Ship Fuel Consumption and Carbon Intensity Prediction Accuracy Based on a Long Short-Term Memory Model with Self-Attention Mechanism

Applied Sciences
The prediction of fuel consumption and Carbon Intensity Index (CII) of ships is crucial for optimizing decarbonization strategies in the maritime industry.
Zhihuan Wang, Tianye Lu, Yi Han, Chunchang Zhang, Xiangming Zeng, Wei Li   +5 more
doaj   +1 more source

Electrochemical Pathways for Nitrate Conversion to Ammonia: From Environmental Challenges to Ammonia Economy

Advanced Functional Materials, EarlyView.
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li, Yunpeng Zuo, Xiaoran Zhang, Jieqiong Shan, Kenneth Mei Yee Leung, Bin Liu, Peter Strasser, Adrian Fisher, Zonglong Zhu, Xin Wang   +9 more
wiley   +1 more source

Self‐Assembled Hybrid Cell‐Enzyme Materials for Gas‐Powered Biocatalysis

Advanced Functional Materials, EarlyView.
Integrating living cells with programmable enzyme networks enables hybrid materials that convert gaseous feedstocks into chemical reducing power. These gas‐powered catalytic beads operate as modular, recyclable platforms for adaptive biocatalysis and sustainable synthesis.
Marius Stoeckle, Kersten S. Rabe, Christof M. Niemeyer   +2 more
wiley   +1 more source

An Adaptive Prediction Framework of Ship Fuel Consumption for Dynamic Maritime Energy Management

Journal of Marine Science and Engineering
Accurate prediction of fuel consumption is critical for achieving efficient and low-carbon ship operations. However, the variability of the marine environment introduces significant challenges, as it leads to dynamic changes in monitoring data ...
Ya Gao, Yanghui Tan, Dingyu Jiang, Peisheng Sang, Yunzhou Zhang, Jie Zhang   +5 more
doaj   +1 more source

A Neuro-Fuzzy Approach for Vehicle Fuel Consumption Prediction

Journal of Electrical Technology UMY, 2018
This paper presents a neuro-fuzzy approach for predicting vehicle fuel consumption. The prediction of fuel consumption of a vehicle has become a strategic issue. This is because it is not only related to the problem of the availability of fuel which is getting thinner but also the problem of the environmental impact caused.
Indah Soesanti, Ramadoni Syahputra
openaire   +2 more sources