Results 211 to 220 of about 3,904,649 (388)

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Advanced Leak Detection Methods for Belowground Natural Gas Pipeline Leaks: Evaluation under Diverse Environmental and Operational Conditions. [PDF]

ACS Omega
Gundapuneni VR, Lo JH, Zimmerle DJ, Smits KM.   +3 more
europepmc   +1 more source

Energy Harvesting by a Novel Substitution for Expansion Valves: Special Focus on City Gate Stations of High-Pressure Natural Gas Pipelines [PDF]

, 2020
Yahya Sheikhnejad, João Simões, Nélson Martins   +2 more
openalex   +1 more source

Smart Flexible Tactile Sensors: Recent Progress in Device Designs, Intelligent Algorithms, and Multidisciplinary Applications

Advanced Intelligent Discovery, EarlyView.
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang, Ming Dong, Rongrong Bao, Caofeng Pan   +3 more
wiley   +1 more source

Research on Gas Pipeline Leakage Prediction Model Based on Physics-Aware GL-TransLSTM. [PDF]

Biomimetics (Basel)
Wu C, Lu H, Liu D, Wang C, Gan J, Li Z.
europepmc   +1 more source

Frost Heaving Damage Mechanism of a Buried Natural Gas Pipeline in a River and Creek Region. [PDF]

Materials (Basel), 2022
Su W, Huang S.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Identification and classification of oil and gas pipeline intru-sion events based on 1-D CNN network. [PDF]

PLoS One
Qin H, Huang X, Wang X, Zhou Z.
europepmc   +1 more source

Detection of Gas Pipeline Leakage Using Distributed Optical Fiber Sensors: Multi-Physics Analysis of Leakage-Fiber Coupling Mechanism in Soil Environment. [PDF]

Sensors (Basel), 2023
Zhang S, Xie S, Li Y, Yuan M, Qian X.
europepmc   +1 more source

PRESSURE DROP IN GAS-LIQUID LOOPED PIPELINE SYSTEMS USING DRAG REDUCING AGENTS

, 2019
R.G. Shagiev
openalex   +1 more source