Results 41 to 50 of about 10,569,966 (288)

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

Advanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie, Iryna Polishchuk, Franziska Tauber, Coralie Schneider, Elena Prudnikov, Alessia Calora, Silvia Milita, Simona Fermani, Mireia Alejandra Ibanez Revert, Ilaria Filippetti, Claudio Ratti, Matthias Kellermeier, Markus Rueckel, Boaz Pokroy   +13 more
wiley   +1 more source

Research on the meteorological early warning system of long-distance natural gas pipeline slope water damage and land disaster

管道保护
In this study, a comprehensive early warning model combining dynamic meteorological data and static geological conditions was proposed to meet the early warning needs of water damage disasters caused by extreme rainfall in the rainy season in mountainous
Chunyuan GAO, Juncheng ZHAO, Zeshan ZHOU, Jun SHENG   +3 more
doaj   +1 more source

Data-driven computation of natural gas pipeline network hydraulics

Results in Control and Optimization, 2020
Hydraulic calculation is a major path to the management of natural gas pipeline network. However, the assumed physical parameters such as the length of the pipes are usually investigated from blueprint or factory technical tests, which may differ from actual values and cause inaccurate hydraulic calculation result.
Gaochen Cui, Qing-Shan Jia, Xiaohong Guan, Qing Liu   +3 more
openaire   +2 more sources

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

Advanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar, Haider Abbas, Muhammad Rabeel, Honggyun Kim, Ghulam Dastgeer, Muhammad Nasim, Furqan Zahoor, Yawar Abbas, Waqas Ahmad, Deok‐kee Kim   +9 more
wiley   +1 more source

Advances in Solution‐Processed Textile Triboelectric Nanogenerators: Ink Formation, Processing Strategies, Applications, and Challenges

Advanced Functional Materials, EarlyView.
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Inversion model of stress state reconstruction for geological hazard pipelines based on digital twin

Discover Applied Sciences
Due to the frequent occurrence of geological disasters worldwide, which pose a serious threat to infrastructure such as pipelines, accurately assessing the stress state of pipelines has become an urgent issue to be addressed. To improve the real-time and
Xue Luning, Tian Mingliang, Zhao Juncheng   +2 more
doaj   +1 more source

A physics-guided modular deep learning framework for scalable flow state prediction in large-scale gas pipeline networks

Engineering Applications of Computational Fluid Mechanics
Accurate and efficient prediction of flow states in large-scale natural gas pipeline networks (NGPNs) is essential for real-time monitoring, scheduling, and control.
Xiang Dong Xue, Yong Hong Song, Dui Hong Zhang, Shu Jian Ren, Wan Lu Zhang, Yang Kang   +5 more
doaj   +1 more source

State of the Art of Oil and Gas Pipeline Vulnerability Assessments

Energies, 2023
In recent years, the safety of oil and gas pipelines has become a primary concern for the pipeline industry. This paper presents a comprehensive study of the vulnerability concepts that may be used to measure the safety status of pipeline systems.
Han Zhang, Qingshan Feng, Bingchuan Yan, Xianbin Zheng, Yue Yang, Jian Chen, Hong Zhang, Xiaoben Liu   +7 more
doaj   +1 more source

Hydrogen and Natural Gas in Pipeline Networks: A Comparative Energy Analysis

Journal of Physics: Conference Series
Abstract In this study, a Simscape model for the transmission and distribution pipeline network of natural gas, hydrogen blended into natural gas and pure hydrogen, is developed. The transmission consists of a 250 km pipelines with a diameter of 48 in and two gas compression stations. The distribution network serves six end users.
Carmine Cava, Adriano Pozzessere, Alessandro Caravelli, Domenico Borello   +3 more
openaire   +2 more sources