[HTML][HTML] Enhancing property prediction and process optimization in building materials through machine learning: A review
K Stergiou, C Ntakolia, P Varytis, E Koumoulos… - Computational Materials …, 2023 - Elsevier
Abstract Analysis and design, as the most critical components in material science, require a
highly rigorous approach to assure long-term success. Due to a recent increase in the …
highly rigorous approach to assure long-term success. Due to a recent increase in the …
The effects of nano-additives on the mechanical, impact, vibration, and buckling/post-buckling properties of composites: A review
This study presents a review of the effect of nano-additives in improving the mechanical
properties of composites. Nano-additives added to composites, also termed …
properties of composites. Nano-additives added to composites, also termed …
EMCS-SVR: hybrid efficient and accurate enhanced simulation approach coupled with adaptive SVR for structural reliability analysis
In structural reliability analysis, robust and efficient sampling methods that address low
failure probabilities are vital challenges. In this paper, a novel dynamical adaptive enhanced …
failure probabilities are vital challenges. In this paper, a novel dynamical adaptive enhanced …
Application of DQHFEM for free and forced vibration, energy absorption, and post-buckling analysis of a hybrid nanocomposite viscoelastic rhombic plate assuming …
PH Wan, MSH Al-Furjan, R Kolahchi, L Shan - Mechanical Systems and …, 2023 - Elsevier
Vibrations and stability responses are two mechanical characteristics of engineering
materials that are highly important for designing new engineering structures. This numerical …
materials that are highly important for designing new engineering structures. This numerical …
Analysis of the friction and wear of graphene reinforced aluminum metal matrix composites using machine learning models
The effect of graphene on the material properties, friction, and wear of self-lubricating
aluminum-based metal matrix composites (MMC) was compared with the effect of graphite …
aluminum-based metal matrix composites (MMC) was compared with the effect of graphite …
[HTML][HTML] Optimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniques
E Champa-Bujaico, AM Díez-Pascual… - Composites Part B …, 2024 - Elsevier
Abstract Machine learning (ML) models provide fast and accurate predictions of material
properties at a low computational cost. Herein, the mechanical properties of multiscale poly …
properties at a low computational cost. Herein, the mechanical properties of multiscale poly …
Prediction of wear performance of ZK60/CeO2 composites using machine learning models
In this study, ZK60 magnesium matrix composites were produced with different content of
CeO 2 (0.25, 0.5 and 1 wt%) by hot pressing. The wear behaviour of the samples was …
CeO 2 (0.25, 0.5 and 1 wt%) by hot pressing. The wear behaviour of the samples was …
Maximizing Triboelectric Nanogenerators by Physics‐Informed AI Inverse Design
Triboelectric nanogenerators offer an environmentally friendly approach to harvesting
energy from mechanical excitations. This capability has made them widely sought‐after as …
energy from mechanical excitations. This capability has made them widely sought‐after as …
A generative approach to materials discovery, design, and optimization
D Menon, R Ranganathan - ACS omega, 2022 - ACS Publications
Despite its potential to transform society, materials research suffers from a major drawback:
its long research timeline. Recently, machine-learning techniques have emerged as a viable …
its long research timeline. Recently, machine-learning techniques have emerged as a viable …
Artificial intelligence in predicting mechanical properties of composite materials
The determination of mechanical properties plays a crucial role in utilizing composite
materials across multiple engineering disciplines. Recently, there has been substantial …
materials across multiple engineering disciplines. Recently, there has been substantial …