Results 61 to 70 of about 1,717,596 (221)

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Intermediate strain rate testing methodologies and full-field optical strain measurement techniques for composite materials characterisation

, 2014
Two optical full-field strain measurement techniques, Digital Image Correlation and the Grid Method, are applied to characterise the strain-rate dependent constitutive behaviour of composite materials.
Longana, M.L.
core   +1 more source

Modified Pyke's hysteretic model considering damping ratio

Yantu gongcheng xuebao, 2019
The damping ratio is a dynamic soil property that indicates the capacity of energy dissipation under cyclic loadings, and it plays an important role in dynamic response analysis of sites and soil-structure systems.
LIU Fang-cheng 1, YANG Jun 2, WU Meng-tao 1,3
doaj   +1 more source

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source

A simple permanent deformation model of rockfill materials

Water Science and Engineering, 2018
Existing experimental results have shown that using a semi-log linear relationship between the permanent volumetric strain and cyclic number underestimates the volumetric deformation of rockfill materials with a large cyclic number, and that the error ...
De-gao Zou, Jing-mao Liu, Xian-jing Kong, Chen-guang Zhou, Qing-po Yang   +4 more
doaj   +1 more source

A Comprehensive Review on Additive Manufacturing of Smart Components: Technologies, Applications, and Future Scope

Advanced Intelligent Systems, EarlyView.
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony, P. M. Ushasree, Michael Short, Jinoop Arackal Narayanan   +3 more
wiley   +1 more source

Objectives and Key Results–Driven Multiagent Framework for Mechanical Design and Simulation

Advanced Intelligent Systems, EarlyView.
Objectives and key results (OKR)‐agent, an OKR‐driven multiagent framework, turns a plain‐language engineering goal into completed mechanical simulations. Three peer agents—supervisor, modeler, and simulator—share a compact board of OKR and coordinate external molecular dynamics (MD) and finite‐element solvers through a standardized tool interface. The
Jie Tian, Lin Pang, Jixin Hou, Xiao Sun, James Jaraczewski, Xianyan Chen, Kenan Song, Xiaoming Zhai, Tianming Liu, Keke Tang, Xianqiao Wang   +10 more
wiley   +1 more source

Strain gradient drives shear banding in metallic glasses

, 2017
Shear banding is a nucleation-controlled process in metallic glasses (MGs) involving multiple temporal-spatial scales, which hinders a concrete understanding of its structural origin down to the atomic scale. Here, inspired by the morphology of composite
王云江, Dai, LH (reprint author), Chinese Acad Sci, Inst Mech, State Key Lab Nonlinear Mech, Beijing 100190, Peoples R China., Tian, Zhi-Li, 陈艳, 戴兰宏   +4 more
core   +1 more source

Deep Learning Classification of Pancreatic Cancer Cells Over a Progression of Epithelial to Mesenchymal States by Deformability Cytometry Under Microfluidic Viscoelastic Flows

Advanced Intelligent Systems, EarlyView.
Cancer cells progressively spread over intermediate epithelial‐to‐mesenchymal transition states that cause nuclear enlargement and circular redistribution of filamentous vimentin are classified by deformability cytometry coupled to a multi‐region deep learning model with convolutional feature extraction and attention‐based regional aggregation.
Javad Jarmoshti, Hanyuan Gao, Negin Zeinali, Abdullah‐Bin Siddique, Sara J. Adair, Todd W. Bauer, Matthew J. Lazzara, Xiaoxuan Yang, Nathan S. Swami   +8 more
wiley   +1 more source

A critical reappraisal of the carotid sinus and carotid bulb: Distinguishing neurohistological function from vascular geometry

The Anatomical Record, EarlyView.
This review redefines the carotid bulb (CB) as a variable geometric dilation shaped by hemodynamics and the carotid sinus (CS) as a conserved neurohistological baroreceptor field. Distinguishing these entities clarifies a century of anatomical confusion and links geometry, neurohistology, and clinical interpretation within a unified framework ...
Răzvan Costin Tudose, Nicolae Radu, Mugurel Constantin Rusu   +2 more
wiley   +1 more source