Results 151 to 160 of about 20,135,100 (276)

Multiscale Shakedown Capacity Prediction of Parameterized Lattices Under Biaxial Loading Using Ensemble Learning. [PDF]

Materials (Basel)
Wang L, Yuan H, Yuan W.
europepmc   +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

Uncertainty quantification in FEM simulation of human liver: sensitivity analysis, Gradient-Enhanced Kriging, and Monte Carlo simulation. [PDF]

Biomech Model Mechanobiol
Waschinsky N, van Meegen C, Lambers L, Ickstadt K, Ricken T.   +4 more
europepmc   +1 more source

Machine Learning‐Enabled Field Prediction and Inverse Design of Functionally Graded Materials Inspired by Tendon–Bone Enthesis

Advanced Intelligent Systems, EarlyView.
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley   +1 more source

A Moment-of-Inertia-Dependent Surface Homogenization Method for Porous Polymer Beams. [PDF]

Polymers (Basel)
Xiang R, Li S, Zhang M, Li L.
europepmc   +1 more source

A Three-Field Multiscale Method [PDF]

"A Three-Field Domain Decomposition Method" is the title of a seminal paper by F. Brezzi and L. D. Marini which introduces a three-field formulation for elliptic partial differential equations.
Madureira, Alexandre L., de Barros, Franklin, Valentin, Frédéric   +2 more
core  

AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges

Advanced Intelligent Systems, EarlyView.
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit, Yizhou Qian, Yi‐Chien Chen, Ziyang Shen, Po‐Sheng Chiu, Youngeon Lee, Cheng‐Han Ke, Chih‐Lung Lin, Shin‐Tson Wu   +8 more
wiley   +1 more source

Mechanochemical modeling of exercise-induced skeletal muscle hypertrophy. [PDF]

PLoS Comput Biol
Devold IS, Rognes ME, Rangamani P.
europepmc   +1 more source

Electronic‐Structure Control of Ferromagnetism in Fe3GeTe2 and Fe3GaTe2: A Short Review

Advanced Physics Research, EarlyView.
Fe3GeTe2 and Fe3GaTe2 form a revealing materials pair for examining how carrier filling, orbital hybridization, magnetic anisotropy, and defects cooperate in metallic van der Waals ferromagnets. This Short Review interprets Ga substitution as chemical electronic‐structure engineering rather than simple rigid‐band doping and identifies decisive ...
Ke Zou
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