Results 111 to 120 of about 13,453,555 (238)

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Tracheal chambers as a key innovation for high‐frequency emission in bat echolocation

The Anatomical Record, EarlyView.
Abstract Key innovations are pivotal for biodiversity and facilitating evolutionary success, enabling organisms' adaptation to various ecological niches through the diversification of phenotypic traits. In mammals, notable adaptations include evolving hypsodonty for grazing on grasses and, for bats, evolving echolocation and wing acquisition.
Nicolas L. M. Brualla, Laura A. B. Wilson, Khizar Hayat, Michael Doube, Vuong Tan Tu, Thongchai Ngamprasertwong, Thanakul Wannaprasert, Daisuke Koyabu   +7 more
wiley   +1 more source

Structure‐Function Tailoring of Plasmonic Nanomaterials for Thin‐Film Photovoltaics

Carbon Energy, EarlyView.
This review discusses the mechanisms and recent advancements of plasmonics in achieving effective light management to enhance the performance of thin‐film solar cells. It highlights applications in high‐performance perovskite solar cells and future‐oriented tandem solar cells.
Sen Jiang, Wenhan Yang, Annan Zhu, Yuexin Lin, Zhaohui Xie, Ran Chen, Wenjing Zhu, Jin Liu, Yingjie Zhu, Wenye Jiang, Zhiyuan Gu, Kaiyang Wang, Shengchun Yang, Nan Zhang, Chao Liang   +14 more
wiley   +1 more source

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

The Finite Element Method

, 2012
The finite element method has emerged as a universal method for the solution of differential equations. Much of the success of the finite element method can be attributed to its generality and elegance, allowing a wide range of differential equations ...
Logg, Anders,, Logg, Anders, Anders Logg, Kirby, Robert C., Robert C. Kirby   +4 more
core   +1 more source

Hydride Materials for Advanced Electrochemical Energy Storage: Progress and Perspectives

EcoEnergy, EarlyView.
Hydrides are emerging as functional materials for low‐carbon electrochemical energy storage. Complex hydrides provide polyanionic electrolyte frameworks for all‐solid‐state, Li–S, and multivalent batteries; hydride ion conductors enable H− transport for emerging hydride‐based cells; and metal hydrides offer established electrode chemistries for Ni–MH ...
Taehyun Kim, Taegyoung Lee, Huijeong Oh, Shin‐ichi Orimo, Sangryun Kim   +4 more
wiley   +1 more source

Hierarchical multiscale modeling for flows in fractured media using generalized multiscale finite element method

, 2015
In this paper, we develop a multiscale finite element method for solving flows in fractured media. Our approach is based on generalized multiscale finite element method (GMsFEM), where we represent the fracture effects on a coarse grid via multiscale ...
Yao, Jun, Lee, Seong, Efendiev, Yalchin, Li, Guanglian, Efendiev, Yalchin R., Zhang, Na   +5 more
core   +1 more source

Flexibilizing inorganic thermoelectrics

FlexMat, EarlyView.
This perspective reviews advances in flexible inorganic thermoelectric materials, covering ductile bulks, thin films, and fibers/yarns. It highlights strategies like warm metalworking, van der Waals material screening, orientation and sandwich engineering, and device integration, offering pathways to combine flexibility and performance for wearable ...
Xiao‐Lei Shi, Nan‐Hai Li, Meng Li, Zhi‐Gang Chen   +3 more
wiley   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source