Results 111 to 120 of about 46,406 (293)

A numerical well-testing method for complex fracture systems based on diffusive time of flight

Shenzhen Daxue xuebao. Ligong ban
To accurately characterize the pressure dynamics of complex fracture networks formed by hydraulic fracturing technology, we propose a fast numerical well-testing method based on diffusive time of flight (DTOF). The method integrates the embedded discrete
DU Yawen, LUO Wanjing, TENG Bailu, LI Jia, HAN Jiaqiang   +4 more
doaj   +1 more source

Pellet Printing for Soft Robotic Devices

Advanced Science, EarlyView.
Fused Granulate Fabrication (FGF) is established here as a reliable method for fabricating soft, airtight robotic devices. Through coordinated optimization of hardware, material selection, and process parameters, this approach enables high‐speed printing of thermoplastic elastomers with silicone‐like softness and modulus.
Yijia Wu, Ju‐Hung Chen, Ariana Olivares, Katherine Kostak, Stefan Pedicone, Savita V. Kendre, Markus P. Nemitz   +6 more
wiley   +1 more source

Numerical simulation method for water injection-induced fractures in tight oil reservoirs based on PKN model

Youqi dizhi yu caishoulu
The opening of natural fractures during water injection in fractured tight oil reservoirs can expand the swept volume of water flooding， but it also easily forms high-permeability channels.
SHI Dengke, CHENG Shiqing, ZHAO Danfeng, WANG Yang, LIU Xiuwei, XU Zexuan   +5 more
doaj   +1 more source

Permeability measurement of the fracture-matrix system with 3D embedded discrete fracture model

Petroleum Science, 2022
Bao Jia, Cheng-Gang Xian
openaire   +1 more source

All‐in‐One Underwater Quality Evaluation Metamaterial With Mechanical Robustness, Sound Attenuation, and Diffuse Reflection

Advanced Science, EarlyView.
In this work, a bioinspired all‐in‐one underwater quality evaluation metamaterial, combining sound attenuation, diffuse reflection, and mechanical robustness, is proposed based on jumping spider locomotion and human skeletal biomechanics. Meanwhile, a CNN‑driven quality evaluation framework is established for theoretically dimension‐reduced ...
Hongze Li, Zhenyu Li, Jinshui Yang, Jianhao Wu, Yidan Chen, Linzhi Wu, Hong Hu, Penglin Gao, Yegao Qu   +8 more
wiley   +1 more source

Solid‐Like yet Reconfigurable 3D‐Printed Liquid Tubular Wires From Nonconductive Molecules

Advanced Science, EarlyView.
This work shatters the current reliance of liquid electronics on intrinsically conductive materials by introducing a novel interfacial redox strategy that transforms non‐conductive molecules into high‐performance, 3D liquid tubular wires with solid‐like electrical properties and exceptional reconfigurability. It opens a vast design space for all‐liquid
Yuchen Fu, Weixi Wu, Wei Chen, Jiangang Zhang, Biyu Jin, Sai Zhao, Yu Chai   +6 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

Advances and Perspectives in Graphene‐Based Quantum Dots Enabled Neuromorphic Devices

Advanced Science, EarlyView.
Graphene‐based QDs are zero‐dimensional carbon nanomaterials with pronounced quantum confinement and tunable electronic structures. Herein, we summarize their synthesis strategies and functionalization methods, and highlight their functional roles and operating mechanisms in devices, as well as recent advances in neuromorphic electronics. We anticipate
Yulin Zhen, Wei Zeng, Zherui Zhao, JiYu Zhao, Ziyan Huang, Zhuo Chen, Kui Zhou, Guanglong Ding, Su‐Ting Han, Ye Zhou   +9 more
wiley   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source