Results 211 to 220 of about 682,258 (323)

A calibration‐less, bonded‐sphere model for highly deformable particle systems in a discrete element method framework

AIChE Journal, EarlyView.
Abstract Here, we introduce a calibration‐less bonded‐sphere model to describe three‐dimensional, linear elastic, highly deformable particles. Voronoi tessellation is used to partition a particle into multiple sub‐spheres, generating a virtual bond network that mimics the mechanical properties of the original particle.
Runhui Zhang, Jens P. Metzger, Christoph R. Müller   +2 more
wiley   +1 more source

Sensitivity of Lumbar Total Joint Replacement to Axial and Coronal Plane Misalignment Using Computational Modeling. [PDF]

Int J Spine Surg
Rundell SA, Kurtz SM, Spece H, Goldstein JA, Hodges SD, Yarbrough RV.   +5 more
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Optimization of micro tool geometry for ballpoint pen tip production using finite element simulation and orthogonal experiments. [PDF]

Sci Rep
Bi Y, Tu L, Li X, Zhao S.
europepmc   +1 more source

FEM analysis (3D) of reinforced concrete beam with openings [PDF]

, 2015
Kai Jun Liang
openalex  

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

Advanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian, Martin Taylor Sobczak, Dhanush Patil, Jixin Hou, Lin Pang, Arunachalam Ramanathan, Libin Yang, Xianyan Chen, Yuval Golan, Xiaoming Zhai, Hongyue Sun, Kenan Song, Xianqiao Wang   +12 more
wiley   +1 more source

Optimization of the grid-stiffened structure via PSO-LSSVR surrogate modeling and sensitivity analysis. [PDF]

Sci Rep
Gai J, Jian Y, Deng Q, Wang J, Zheng M, Yang Y.   +5 more
europepmc   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Unveiling the Role of Graphite Morphology in Ductile Iron: A 3D FEM-Based Micromechanical Framework for Damage Evolution and Mechanical Performance Prediction with Applicability to Multiphase Alloys. [PDF]

Materials (Basel)
Tao J, Jiang Y, Xie S, Wang Y, Zhou Z, Fu L, Mao C, Li L, Huang J, Liu S.   +9 more
europepmc   +1 more source

Modelling of fracture problems in quasi-brittle materials by the E-FEM

, 2018
C. Z. S. MARASCA, Eduardo Bittencourt, V. M. R. D. BESSA   +2 more
openalex   +1 more source