Results 71 to 80 of about 9,608,205 (238)

Grid codes vs. multi-scale, multi-field place codes for space

Frontiers in Computational Neuroscience
IntroductionRecent work on bats flying over long distances has revealed that single hippocampal cells have multiple place fields of different sizes.
Robin Dietrich, Robin Dietrich, Nicolai Waniek, Nicolai Waniek, Martin Stemmler, Alois Knoll   +5 more
doaj   +1 more source

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]

, 2012
Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H., Yu, Y., Sun, Z.H., Chan, T.H.T.   +3 more
core   +1 more source

A corrective direction particle swarm optimization for large-scale multi-objective optimization

Complex & Intelligent Systems
In multi-objective optimization, Large-Scale Multi-Objective Optimization Problems (LSMOPs) involve a large number of decision variables and present significant challenges in finding satisfactory results with a limited number of function evaluations.
Weichao Chen, Ziyang Li, Xue Li
doaj   +1 more source

Contribution-Driven Task Design: Multi-Task Optimization Algorithm for Large-Scale Constrained Multi-Objective Problems

Computers
Large-scale constrained multi-objective optimization problems (LSCMOPs) are highly challenging due to the need to optimize multiple conflicting objectives under complex constraints within a vast search space.
Huai Li, Tianyu Liu
doaj   +1 more source

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

Advanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch, Maximilian Holland, Klaus Drechsler, Johannes Schilp   +3 more
wiley   +1 more source

Recurrence with Correlation Network for Medical Image Registration

Applied Sciences
This work presents Recurrence with Correlation Network(RWCNet), a novel multi-scale recurrent neural network architecture for medical image registration that integrates core principles from optical flow, including correlation volume computation and ...
Vignesh Sivan, Teodora Vujovic, Raj Kumar Ranabhat, Alexander Wong, Stewart Mclachlin, Michael Hardisty   +5 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
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, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

A multi-population multi-stage adaptive weighted large-scale multi-objective optimization algorithm framework

Scientific Reports
Weighted optimization framework (WOF) achieves variable dimensionality reduction by grouping variables and optimizing weights, playing an important role in large-scale multi-objective optimization problems.
Lixue Xiong, Debao Chen, Feng Zou, Fangzhen Ge, Fuqiang Liu   +4 more
doaj   +1 more source