Results 41 to 50 of about 1,045,600 (317)

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

On Poincare and logarithmic Sobolev inequalities for a class of singular Gibbs measures

, 2019
This note, mostly expository, is devoted to Poincar{\'e} and log-Sobolev inequalities for a class of Boltzmann-Gibbs measures with singular interaction. Such measures allow to model one-dimensional particles with confinement and singular pair interaction.
A Arnold, A Guionnet, AJ Hoffman, C Ané, D Chafaï, D Chafaï, D Chafaï, DJ Grabiner, E Cépa, EA Carlen, ES Meckes, F Calogero, F Malrieu, FJ Dyson, FJ Dyson, G Ben Arous, G De Philippis, GW Anderson, H Tanaka, HJ Brascamp, I Dumitriu, I Dumitriu, J Gustavsson, JA Ramírez, L Chris, LA Caffarelli, LC Evans, M Lassalle, M Lassalle, M Lassalle, M Ledoux, M Ledoux, M Rösler, M-F Bru, PJ Forrester, RA Horn, SG Bobkov, TH Baker, W Beckner, W König   +39 more
core   +1 more source

Fuzzy measures and discreteness [PDF]

, 2008
The main result is to show that the space of nonmonotonic fuzzy measures on a measurable space (X,X) with total variation norm is separable if and only if the σ-algebra X is a finite set.
Ren, Xuekun, Wu, Congxin
core   +1 more source

Digital Methods for the Fatigue Assessment of Engineering Steels

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
The use of engineering steels is often limited by their fatigue strength. In the sake of a faster product development, the fatigue behavior can be predicted by machine learning (ML). In this work, ML is applied on a heterogeneous database, covering a wide range of steel types.
Sascha Fliegener, Johannes Rosenberger, Michael Luke, José Manuel Domínguez, Joana Francisco Morgado, Hans‐Ulrich Kobialka, Torsten Kraft, Johannes Tlatlik   +7 more
wiley   +1 more source

A mathematical method for electromyography analysis of muscle functions during yogasana

International Journal of Yoga, 2019
For the past few decades, the number of people practicing yoga is increasing in number. Yogasanas need smooth body movements in the process of attaining defined postures that the person must hold on to activate specific muscles of the body related to that asana.
Ashitha Besagarahalli Ramesh, K Kshamith Alva, V Devaraju, S. N. Omkar, V Ramesh Debur   +4 more
openaire   +4 more sources

Electrospinning Technology, Machine Learning, and Control Approaches: A Review

Advanced Engineering Materials, Volume 27, Issue 7, April 2025.
Electrospinning produces micro‐ and nanoscale fibers, holding great promise in biomedical engineering. Industrial adoption faces challenges in controlling fiber properties, reproducibility, and scalability. This review explores electrospinning techniques, modeling, and machine learning for process optimization.
Arya Shabani, Gorkem Anil Al, Nael Berri, Bernardo Castro‐Dominguez, Hannah S. Leese, Uriel Martinez‐Hernandez   +5 more
wiley   +1 more source

Mathematical Analysis and Numerical Approximations of Density Functional Theory Models for Metallic Systems [PDF]

, 2023
Xiaoying Dai, Stefano de Gironcoli, Bin Yang, Aihui Zhou   +3 more
openalex   +1 more source

Mathematical Analysis of The Hash Functions as a Cryptographic Tools for Blockchain

Turkish Journal of Science and Technology, 2022
Blockchain is one of the most interestingly developing technologies today, with its applications in many fields from smart contracts to cryptocurrencies. In this respect, blockchain is a hot modern topic nowadays. This study presents a mathematical analysis of cryptographic hash functions, which are one of the most important elements for understanding ...
openaire   +2 more sources

An Ontology‐Augmented Digital Twin for Fiber‐Reinforced Polymer Structures at the Example of Wind Turbine Rotor Blades

Advanced Engineering Materials, Volume 27, Issue 8, April 2025.
A methodology for establishing an ontology‐augmented structural digital twin for fiber‐reinforced polymer structures dedicated to individual lifetime prediction, in this case, a wind turbine rotor blade, is introduced. The methodology resembles the manufacturing as well as the operation of the structure.
Marc Luger, Alexander Seidel, Ursula Pähler, Sebastian Schröck, Peter Hofmann, Sebastian Kölbl, Klaus Drechsler   +6 more
wiley   +1 more source

A Novel Simulation Approach for Damage Evolution during Tailored Forming

Advanced Engineering Materials, EarlyView.
Traditional damage models are struggling to accurately and efficiently simulate large‐scale three‐dimensional models with a great number of degrees of freedoms. A new gradient‐enhanced damage model based on the extended Hamilton principle can significantly reduce the computation time while ensuring mesh‐independence which is suitable to use in tailored
Fangrui Liu, Dustin Roman Jantos, Philipp Junker   +2 more
wiley   +1 more source