Results 111 to 120 of about 187,858 (317)

Integrating Machine Learning with Hybrid and Surrogate Models to Accelerate Multiscale Modeling of Acute Respiratory Infections

Viruses
Accurate, efficient, and explainable modeling of the dynamics of acute respiratory infections (ARIs) remains, in many aspects, a significant challenge.
Andrey Korzin, Maria Koshkareva, Vasiliy Leonenko   +2 more
doaj   +1 more source

Hybrid Modeling Method for a DEP Based Particle Manipulation

Sensors, 2013
In this paper, a new modeling approach for Dielectrophoresis (DEP) based particle manipulation is presented. The proposed method fulfills missing links in finite element modeling between the multiphysic simulation and the biological behavior.
Mohamad Sawan, Antoine Gagne, Mohamed Amine Miled   +2 more
doaj   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Digital Twin Approaches for Gear NVH Optimization: A Literature Review of Modeling, Data Integration, and Validation Gaps

Machines
Quiet drivetrains have become a central requirement in modern electric vehicles, where the absence of engine masking makes even subtle gear tones clearly audible.
Krisztian Horvath, Ambrus Zelei
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

Computational and experimental study of air hybrid engine concepts [PDF]

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe air hybrid engine absorbs the vehicle kinetic energy during braking, stores it in an air tank in the form of compressed air, and reuses it to start the ...
Lee, Cho-Yu
core  

Fine-Scale and Population-Weighted PM_2.5 Modeling in Melbourne: Towards Detailed Urban Exposure Mapping

ISPRS International Journal of Geo-Information
Despite concern over air pollution, fine-scale spatial and demographic disparities in exposure remain largely unquantified in Australian cities due to sparse monitoring and coarse models.
Jun Gao, Xuying Ma, Qian Chayn Sun, Wenhui Cai, Xiaoqi Wang, Yifan Wang, Zelei Tan, Danyang Li, Yuanyuan Fan, Leshu Zhang, Yixin Xu, Xueyao Liu, Yuxin Ma   +12 more
doaj   +1 more source

Repetitive Short-Term Stimuli Imposed in Poor Mixing Zones Induce Long-Term Adaptation of E. coli Cultures in Large-Scale Bioreactors: Experimental Evidence and Mathematical Model

Frontiers in Microbiology, 2017
Rapidly changing concentrations of substrates frequently occur during large-scale microbial cultivations. These changing conditions, caused by large mixing times, result in a heterogeneous population distribution.
Alexander Nieß, Michael Löffler, Joana D. Simen, Ralf Takors   +3 more
doaj   +1 more source

A Lightweight Procedural Layer for Hybrid Experimental–Computational Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
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, Sarath Menon, Raphael Röske, Johannes Steinhülb, Michael Selzer, Jan Janssen, Tilmann Hickel, Ruth Schwaiger, Jörg Neugebauer   +8 more
wiley   +1 more source

Investigation of mixed element hybrid grid-based CFD methods for rotorcraft flow analysis

, 2010
Accurate first-principles flow prediction is essential to the design and development of rotorcraft, and while current numerical analysis tools can, in theory, model the complete flow field, in practice the accuracy of these tools is limited by various ...
Smith, Marlyn J., Whitehouse, Glen R., Boschitsch, Alexander H., Lynch, C. Eric, Brown, Richard   +4 more
core