Results 111 to 120 of about 50,829 (262)

An Adaptive Coupling of Edge-Based Smoothed FEM and SPH with a Bidirectional Element-Particle Transformation Algorithm for Laser Powder Bed Fusion. [PDF]

Materials (Basel)
Suo M, Long T.
europepmc   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

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

Comparison of valuation manners within international accounting

Agricultural Economics (AGRICECON), 2003
M. Kočner, M. Konvalina
doaj   +1 more source

Single-Criterion Optimisation with Consideration of Uncertainties of the Composite Multi-Layer Slabs. [PDF]

Materials (Basel)
Smela P, Miller B.
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

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

Sci Rep
Nasr O, Moustafa A, Ghallab AH.
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 el que diem que fem?

La desigualtat de gènere a les ciències, tant a les aules com a l'ocupació és un tema que actualment,se'n comença a parlar més i cada cop es veu més la necessitat de fer un canvi. Partint d'una societatandrocèntrica, on la dona ha estat (o està) exclosa, on l'educació està basada en un model masculí i lesviolències de gènere es continuen perpetuant a l'
Ramis Pérez, Elena, Pipitone, Maria Carolina||   +1 more
openaire   +1 more source