Results 171 to 180 of about 294,526 (302)

Structural assessments of 3D printed PLA hooks

opendisegno cad di un gancio semplice, simulazione fem, stampa 3d e prove di trazionecad design of a simple hook, fem simulation, 3d printing and tensile ...
BOJAN, GIULIO
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Flexural behaviour of RC shear wall using enhanced finite element model. [PDF]

Sci Rep
Nasr O, Moustafa A, Ghallab AH.
europepmc   +1 more source

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

Microstructure-Driven Loss Mechanisms and Tensor-Based FEM Calibration. [PDF]

Micromachines (Basel)
Muoio A, Garofalo A, La Via F.
europepmc   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Deep learning-driven performance prediction and design of high-DoF MEMS resonators. [PDF]

Microsyst Nanoeng
Jia Z, Wu C, Li M, Yan W, Wang X, Lei M, Sun J, Wu S, Shi C, Tan D, Li W, Wang Y, Li P, Lu Q.   +13 more
europepmc   +1 more source

Fem ciència, fem de científics i científiques

Aquest article presenta una proposta didàctica per a treballar les plantes i les seves necessitats a l'etapa d'educació infantil, mitjançant una situació d'aprenentatge que busca involucrar els infants en les pràctiques científiques. El projecte, s'ha desenvolupat amb alumnat de tots els cursos d'infantil de l'Escola Lola Anglada.
Fernández Cortés, Rosa, Moreno Almela, Emilia, Figueroa Torices, Natàlia, Calle Garcia, Cristina, Navarro Palà, Maria, Tena Gallego, Èlia||   +5 more
openaire   +1 more source

Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun, Dongchan Lee, Soyeon Lee, Salvador Pané, Josep Puigmartí‐Luis, Sungwoo Chun, Bumjin Jang   +6 more
wiley   +1 more source

An integrated framework TSV-INet for arbitrarily distributed TSV interposer wafer warpage simulation. [PDF]

Microsyst Nanoeng
Cui H, Ding X, Gao Y, Wan X, Liu T, Sun Y, Zheng H, Zhou Y, Zheng K, Xia Z, Huo Z, Guo Y, Liu S, Zhang Z.   +13 more
europepmc   +1 more source