Results 81 to 90 of about 24,736,231 (293)

A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions

open access: yesAdvanced Engineering Materials, EarlyView.
This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice   +2 more
wiley   +1 more source

Bruno Pini Mathematical Analysis Seminar

open access: yes
The journal publishes seminars solicited by the Department of Mathematics, University of Bologna. It features recent developments in mathematical analysis.
Annamaria Montanari
core   +3 more sources

Mathematical model for empirically optimizing large scale production of soluble protein domains

open access: yesBMC Bioinformatics, 2010
Background Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically modeling a protein dissection protocol in terms of a production system. Here,
Miyazaki Satoshi   +6 more
doaj   +1 more source

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

open access: yesAdvanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal   +2 more
wiley   +1 more source

Torus bifurcations in a mechanical system [PDF]

open access: yes, 2015
To study the dynamics and bifurcations of periodic solutions and tori, we consider a self-excited as well as parametrically excited three-mass chain system (a Tondl model) in 1:2:3 resonance.
Verhulst, Ferdinand   +5 more
core   +2 more sources

Using mathematical techniques to leverage domain knowledge in image analysis for earth science

open access: yes, 2023
When presented with the power of modern machine learning techniques, there is a belief that we can simply let these algorithms loose on the data and see what they can find, unconstrained by human choice or bias. While such approaches can be useful, they are (of course) not fully free of bias or choice. Moreover, by utilizing the deep store of knowledge
Ver Hoef, Lander, author   +4 more
openaire   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

open access: yesAdvanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba   +5 more
wiley   +1 more source

Existence of the mathematical prediction equation and its convergence condition and its simplified derivation

open access: yesResults in Applied Mathematics
The mathematical prediction equation (MPE) offers a mathematical definition for wave-motion field prediction in physical systems. It applies to fluid mechanics and numerical weather forecasting models.
Xuzan Gu, Zhibin Wang
doaj   +1 more source

Optimal Concavity for Newtonian Potentials

open access: yesBruno Pini Mathematical Analysis Seminar, 2017
In this note I give a short overview about convexity properties of solutions to elliptic equations in convex domains and convex rings and show a result about the optimal concavity of the Newtonian potential of a bounded convex domain in ℝn , n ≥ 3 ...
Paolo Salani
doaj   +1 more source

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

open access: yesAdvanced 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   +2 more
wiley   +1 more source

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