Results 181 to 190 of about 15,976,227 (307)
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 +3 more
wiley +1 more source
Data-driven springback prediction of curved metal sections in curtain wall systems. [PDF]
Sci RepJiang W, Zhang Y, Liang Y, Chen K.
europepmc +1 more source
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 +4 more
wiley +1 more source
A Sustainable Path for Automotive Composite Tooling: Novel Materials, Design, and Technologies Through FEM and LCA. [PDF]
Polymers (Basel)Carallo GA +6 more
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
Mesoscopic Damage Characteristics of NEPE Propellant Under Drop-Weight Impact. [PDF]
Materials (Basel)Zhang Z, Sun Z, Liu Y, Zhu Y, Hu Y.
europepmc +1 more source
Numerical modelling of the aluminium extrusion process when producing complex seactions.
This thesis reports the analysis by FEM of both continuum and structural models describing the extrusion process. They were compared with experimental work and the agreement is satisfactory.
Longjang, Niu
core
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 +2 more
wiley +1 more source
Convergence of the Immersed Interface Method in Linear Elasticity. [PDF]
Mathematica (N Y)Asghar S +3 more
europepmc +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 +6 more
wiley +1 more source