Machine learning-assisted wood materials: Applications and future prospects
Wood and wood-based materials, surpassing their conventional image as mere stems and
branches of trees, have found extensive utilization in diverse industrial sectors due to their …
branches of trees, have found extensive utilization in diverse industrial sectors due to their …
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial …
F Gomes Souza Jr, S Bhansali, K Pal… - Materials, 2024 - mdpi.com
From 1990 to 2024, this study presents a groundbreaking bibliometric and sentiment
analysis of nanocomposite literature, distinguishing itself from existing reviews through its …
analysis of nanocomposite literature, distinguishing itself from existing reviews through its …
A machine learning strategy for enhancing the strength and toughness in metal matrix composites
Z Zhong, J An, D Wu, N Gao, L Liu, Z Wang… - International Journal of …, 2024 - Elsevier
Particle-reinforced metal matrix composites (MMCs) are highly sought after for various
applications due to their robust mechanical properties containing high strength and high …
applications due to their robust mechanical properties containing high strength and high …
Crash energy management optimization of high-speed trains by machine learning methods
With the increasing speed of railway vehicles, the intricacies inherent in train collision
systems pose challenges in the rational allocation of energy during collision events. In this …
systems pose challenges in the rational allocation of energy during collision events. In this …
Robust detection of ductile fracture by acoustic data-driven unsupervised learning
The quantitative assessment of the formability of bulk metallic materials remains
challenging, primarily due to considerable difficulties in accurately identifying the initiation of …
challenging, primarily due to considerable difficulties in accurately identifying the initiation of …
Mechanical characteristics of die-wall friction on the compaction process of metal nano-powders
The die-wall friction is one of the influential mechanical factors in the metal nano-powder
compaction process that can noticeably impress the densification behavior of nanoparticles …
compaction process that can noticeably impress the densification behavior of nanoparticles …
Reactive molecular dynamics analysis of alumina nano-powders under warm compaction process
In this paper, the warm compaction process of alumina ceramic nano-powders is
investigated through the molecular dynamics method, emphasizing the impact of …
investigated through the molecular dynamics method, emphasizing the impact of …
A generalizable framework of solution-guided machine learning with application to nanoindentation of free-standing thin films
R Wang, T Ying, Y Chen, F Zhu, J Leng, T Chang… - Thin-Walled …, 2024 - Elsevier
Despite the significant success of machine learning (ML) in various fields, there remains a
critical need to enhance its ability to extrapolate from insufficient data. Here, we propose a …
critical need to enhance its ability to extrapolate from insufficient data. Here, we propose a …
The Role of AI in E-commerce Brand Recognition: A Malaysian Perspective
E Medjedel, ABA Hamid, AS Sakouchi - Review of Applied Socio …, 2024 - reaser.eu
Artificial Intelligence (AI) has transformed retail strategy and operations, introduced branding
strategies and improved consumer shopping experience E-commerce growth in Malaysia …
strategies and improved consumer shopping experience E-commerce growth in Malaysia …
Atomistic and Continuum Ascertainment of the Crack Tip Stress Fields in Anisotropic Elastic Cubic Media
LV Stepanova, K Mushankova - Available at SSRN 4744022 - papers.ssrn.com
The article provides a comparative analysis of stresses associated with the crack tip in an
anisotropic elastic medium with cubic crystalline symmetry of elastic properties under mixed …
anisotropic elastic medium with cubic crystalline symmetry of elastic properties under mixed …