Design of functional and sustainable polymers assisted by artificial intelligence
Artificial intelligence (AI)-based methods continue to make inroads into accelerated
materials design and development. Here, we review AI-enabled advances made in the …
materials design and development. Here, we review AI-enabled advances made in the …
[HTML][HTML] 3D printing of biodegradable polymers and their composites–Current state-of-the-art, properties, applications, and machine learning for potential future …
This review paper comprehensively examines the dynamic landscape of 3D printing and
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
Machine Learning utilizing biodegradable polymers and their composites, presenting a …
[HTML][HTML] Synthesis, properties, applications, 3D printing and machine learning of graphene quantum dots in polymer nanocomposites
This comprehensive review discusses the recent progress in synthesis, properties,
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …
applications, 3D printing and machine learning of graphene quantum dots (GQDs) in …
Graphene nanoparticles as data generating digital materials in industry 4.0
One of the potential applications of 2D materials is to enhance multi-functionality of
structures and components used in aerospace, automotive, civil and defense industries …
structures and components used in aerospace, automotive, civil and defense industries …
Can artificial intelligence accelerate fluid mechanics research?
The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …
Machine learning to enhance sustainable plastics: A review
C Guarda, J Caseiro, A Pires - Journal of Cleaner Production, 2024 - Elsevier
Plastic pollution requires advances in the production, use, and recovery of plastics to
minimize environmental and human-health impacts. Machine Learning (ML) has been …
minimize environmental and human-health impacts. Machine Learning (ML) has been …
[HTML][HTML] Influence of γ-irradiation on the structural and optical properties of PVA/rGO films reinforced with rGO for nuclear shielding applications.
SJ Alsufyani - Journal of Radiation Research and Applied Sciences, 2023 - Elsevier
The polyvinyl alcohol films reinforced with reduced graphene oxide (PVA/rGO) have been
synthesized by the film casting method. Fourier-transform infrared spectroscopy (FTIR) was …
synthesized by the film casting method. Fourier-transform infrared spectroscopy (FTIR) was …
From processing to properties: Enhancing machine learning models with microstructural information in polymer nanocomposites
Z Wan, S Chen, X Feng, ZY Sun - Composites Communications, 2024 - Elsevier
For polymers and their composites, processing conditions and the resultant microstructures
are crucial in determining their properties. Traditional machine learning (ML) methods …
are crucial in determining their properties. Traditional machine learning (ML) methods …
A review on computational intelligence methods for modelling of light weight composite materials
Light weight composite materials (LWCM) have gained tremendous attention, thanks to their
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
low cost, eco-friendly nature, biodegradability, life-cycle superiority, noble mechanical …
[HTML][HTML] Harvesting tacit knowledge for composites workforce development
J Summerscales - Composites Part A: Applied Science and …, 2024 - Elsevier
Explicit knowledge can often be shared through textbooks, technical papers, instruction
manuals, guides, and videos. It is normally objective, logical and technical. However, tacit …
manuals, guides, and videos. It is normally objective, logical and technical. However, tacit …