Results 61 to 70 of about 156,445 (265)

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

Advanced 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, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Trigonometric function transformation and its application in software reliability modeling.

PLoS ONE
ContextMany models based on S-shaped functions demonstrate their advantages in non-homogeneous Poisson process software reliability modeling. However, three well-known types have been used without deep mathematical evaluation.
Dai-Nghia Vy, Van-Thuan Nguyen, Quyet-Thang Huynh, Trung-Nghia Phung, Hung-Cuong Nguyen   +4 more
doaj   +1 more source

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

BMC 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, Yabuki Takashi, Tanaka Takanori, Kurotani Atsushi, Chikayama Eisuke, Yokoyama Shigeyuki, Kuroda Yutaka   +6 more
doaj   +1 more source

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

, 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, Adams, Henry, advisor, King, Emily J., advisor, Hagman, Jess Ellis, committee member, Ebert-Uphoff, Imme, committee member   +4 more
openaire   +1 more source

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

Advanced 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, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Karl Popper and the Mechanisms of Hydrogen Embrittlement

Advanced Engineering Materials, EarlyView.
Representation of the beginning of loss of ductility rather than embrittlement. Small concentrations of hydrogen in a diffusible form within iron are well‐established to harm the mechanical integrity of steels. There are theories that attempt to explain the pernicious role of hydrogen.
H. K. D. H. Bhadeshia
wiley   +1 more source

Optimal Concavity for Newtonian Potentials

Bruno 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

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

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

Results 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

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