Results 61 to 70 of about 63,084 (306)
A simplified thermoplastic pultrusion model is developed to predict thermal fields in glass fiber/polyethylene terephthalate (GF/PET) composites with reduced computational cost. By combining effective material homogenization, validation against literature data, and Gaussian‐process‐based optimization, the study reveals how heating limits, pulling speed,
Elder Soares +3 more
wiley +1 more source
Phase Field Failure Modeling: Brittle‐Ductile Dual‐Phase Microstructures under Compressive Loading
The approach by Amor and the approach by Miehe and Zhang for asymmetric damage behavior in the phase field method for fracture are compared regarding their fitness for microcrack‐based failure modeling. The comparison is performed for the case of a dual‐phase microstructure with a brittle and a ductile constituent.
Jakob Huber, Jan Torgersen, Ewald Werner
wiley +1 more source
Three-Dimensional Geological Modeling Method Based on Potential Vector Fields
With the development of 3D geological modeling, implicit modeling methods have gradually gained popularity. However, existing potential field methods cannot directly represent unconformable geological interfaces.
Peigang Liu +3 more
doaj +1 more source
Detailed Voxel-Based Implicit Modeling With Local Boolean Composition of Discrete Level Sets
Compared with the functionally-based implicit models, the level set models are usually defined by discretely sampling the implicit function values over the volume grid to represent the shapes, which are suitable for scientific computing and engineering ...
Zhongxiang Duan +3 more
doaj +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
PurposeTo overcome the reliance on manual parameter adjustment and the difficulty in uncertainty quantification of traditional Multiple-Point Geostatistics (MPS) methods, and to address the general lack of geological semantic rule utilization that limits
Qiyu Chen +10 more
doaj +1 more source
Implicit Modeling Network of Human Keypoints Based on Attention Mechanism [PDF]
Human pose estimation necessitates the use of visual cues and anatomical joint relationships to pinpoint key points. Existing Convolutional Neural Network(CNN) methods falter in addressing long-range contextual cues and modeling dependencies among ...
Jiayuan ZHAO, Yuru ZHANG, Xiaodong SU, Hongyan XU, Shizhou LI, Yurong ZHANG
doaj +1 more source
Geological modeling commonly results in a single prescribed geometric representation of the subsurface with no consideration of uncertainties. Accounting for uncertainties is of particular importance in the triangle zone at the leading edge of ...
Sofia Brisson +4 more
doaj +1 more source
A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science
We unveil a prototype hybrid‐workflow framework that fuses automatedcomputation with hands‐on experiments. Built atop pyiron, a lightweight, parameterized layer translates procedure descriptions into executable manual steps, syncing instrument settings, human interventions, and data capture in real‐time today.
Steffen Brinckmann +8 more
wiley +1 more source
Towards additive manufacturing oriented geometric modeling using implicit functions
Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools.
Qingde Li +5 more
doaj +1 more source

