Results 81 to 90 of about 24,736,231 (293)
A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
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
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
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
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]
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
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
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
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
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
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

