Results 121 to 130 of about 1,261 (252)

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

Deep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu, Tao Li, Ruiqi Yuan, Yue Li, Bingni Wu, Bo Liu, Zhengding Deng, Galindo Rubén, Fausto Molina‐Gómez   +8 more
wiley   +1 more source

Advances in Electrocatalytic Valorization of Glycerol: From Fundamental Understanding to Practical Innovation

EcoEnergy, EarlyView.
This review provides a comprehensive overview of recent advances in glycerol electro‐oxidation reaction, covering electrocatalyst design, electrolyte and operating optimization, and mechanistic understanding of reaction pathways. Integrated anodic–cathodic systems and techno‐economic assessments are discussed, followed by key challenges and future ...
Jiamin Wang, Rafael B. Araujo, Hong Liu, Xiaowen Yu   +3 more
wiley   +1 more source

Two-dimensional multi-scale permutation entropy algorithm based on uniform quantization

Tongxin xuebao
In order to solve the problem that equal values in the subsequence lead to an increase in the probability of certain ordinal patterns when extending the permutation entropy algorithm to two-dimensional domain, a two-dimensional multi-scale permutation ...
WANG Daming, SHI Pengfei, LEI Yihang, BIAN Haoran, LIANG Min, CHANG Liwei   +5 more
doaj  

Membrane Engineering for Battery Systems: Bridging Design Principles and Frontier Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The review emphasizes membrane separators' role in battery performance and safety, covering redox flow, lithium‐ion, and solid‐state batteries. It reviews advances in membrane materials (e.g., polymer electrolytes, hybrid composites) and ion transport mechanisms, while addressing challenges like dendrite growth and crossover losses.
Xiaoqun Zhou, Justice Delali Akoto, Rui Tan, Jun Ma   +3 more
wiley   +1 more source

Computationally Driven Advances in Cu‐CNT On‐Chip Interconnect Materials: From First Principles to Machine Learning

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A multiscale framework integrating electronic, mechanical, and thermal analysis with machine learning to optimize carbon nanotube interconnects. As the component dimensions in integrated circuits shrink to extreme scales, the complexity of interconnect systems is increasing significantly, necessitating an urgent and comprehensive upgrade of ...
Changhong Zhang, Jie Liang, Yi Li, Zhenyu Wang, Haoyuan Li, Zhen Yuan, Jiuren Zhou, Rongmei Chen, Wensheng Zhao, Lei Zhang, Hanshen Xin, Jianhua Zhang   +11 more
wiley   +1 more source

Timing is everything: Expert opinion on researching epilepsy rhythms by the ILAE Task Force on Chronobiology

Epilepsia, EarlyView.
Abstract Recurrent seizures, the hallmark of epilepsy, are influenced by rhythms operating over multiple timescales. Chronobiology is the study of biological timing that aims to explain temporal patterns of events like seizures. Fueled by recent advances in genetics, computational modeling, and device engineering, the chronobiology of epilepsy is now a
Maxime O. Baud, Christophe Bernard, Birgit Frauscher, Philippa J. Karoly, Vikram R. Rao   +4 more
wiley   +1 more source

Machine Learning‐Driven Classification and Production Capacity Prediction of Tight Sandstone Reservoirs: A Case Study of the Taiyuan Formation, Ordos Basin

Energy Science &Engineering, EarlyView.
On the basis of core and log data, a Bayesian‐Optimized Random Forest model achieved 92.76% accuracy in classifying tight sandstone reservoirs. A gray relational analysis‐derived evaluation index shows > 80% consistency with actual gas zones. ABSTRACT Tight sandstone gas (TSG), an unconventional oil–gas resource, has heterogeneous reservoirs ...
Yin Yuan, Haijiao Fu, Detian Yan, Gang Wang, Shuguang Yang, Mengmeng Liu, Qingling Jiang, Xiaoming Wang, Wei Wang   +8 more
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

Food Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

Designer Entropy Enables High Thermoelectric Power and Efficiency

Interdisciplinary Materials, EarlyView.
Designer Entropy enables targeted control of defect and transport behavior in SnTe‐based alloys, allowing efficiency and power to be independently optimized. Radius‐matched Sb doping preserves carrier mobility and delivers superior power output, while Bi‐induced disorder suppresses mobility despite comparable efficiency.
Yihua Zhang, Yuxuan Yang, Guyang Peng, Haijun Wu, Zhihao Zhao, Jiandong Wang, Tianle Xie, Yuetao Zhang, Yang Zhang, Wanbo Qu, Tong Song, Minghua Yang, Chuansheng Ma, Shengwu Guo, Jun Sun, Xiangdong Ding   +15 more
wiley   +1 more source

Recent advances in data‐driven and artificial intelligence‐integrated perovskite solar cells: From design to self‐driving laboratories

InfoMat, EarlyView.
To address the limitations of conventional trial‐and‐error approaches, perovskite solar cell research is shifting toward a new paradigm that utilizes datasets and AI. This review examines the fundamental elements of data‐driven and AI‐integrated research: data platforms, AI methodologies, and self‐driving laboratories, demonstrating how their ...
Jaehee Lee, Juhwan Noh, Hyunjun Lee, Yea‐Lee Lee, Jino Im, Jangwon Seo   +5 more
wiley   +1 more source