Engineered approach coupled with machine learning in biofabrication of patient-specific nerve guide conduits-Review
DV Krishna, MR Sankar - Bioprinting, 2023 - Elsevier
Nervous system plays a dynamic role in communicating information from the brain to body
parts through central and peripheral nerves. Significant destruction to the nerve system …
parts through central and peripheral nerves. Significant destruction to the nerve system …
[HTML][HTML] Indentation, finite element modeling and artificial neural network studies on mechanical behavior of GFRP composites in an acidic environment
In this study, the indentation tests are performed with various forces using the Vickers
indenter to investigate the mechanical properties, including the elastic modulus, hardness …
indenter to investigate the mechanical properties, including the elastic modulus, hardness …
Multi-scale modeling and experimental study on electrosprayed multicore microcapsule-based self-healing polymers
R Barbaz-Isfahani, S Saber-Samandari… - Mechanics of Advanced …, 2024 - Taylor & Francis
In this study, we promote a multi-scale modeling to predict the healing efficiencies (HEs) of
incorporated polymers with self-healing microcapsules. The Python scripts were employed …
incorporated polymers with self-healing microcapsules. The Python scripts were employed …
Experimental and multi‐scale finite element modeling for evaluating healing efficiency of electro‐sprayed microcapsule based glass fiber‐reinforced polymer …
H Dadras, R Barbaz‐Isfahani… - Polymer …, 2022 - Wiley Online Library
Microcapsule based glass fiber‐reinforced polymer (GFRP) composites have attracted
enormous attention due to enhancement of structures' longevity, reducing expenses, and …
enormous attention due to enhancement of structures' longevity, reducing expenses, and …
Prediction and optimization of 3D-printed sandwich beams with chiral cores
S Kamarian, A Khalvandi, E Heidarizadi… - International Journal of …, 2024 - Elsevier
This study pursues two primary objectives concerning sandwich structures with chiral cores.
Firstly, it delves into the realm of machine learning-assisted predictions regarding the …
Firstly, it delves into the realm of machine learning-assisted predictions regarding the …
Tailoring polyethylene oxide-modified cross-linked chitosan/PVA nanofibrous membranes: Burn dressing scaffold developed for mupirocin release
S Habibi, T Mohammadi, AA Asadi - International Journal of Biological …, 2024 - Elsevier
In emergency treatment research, the focus on chitosan-based products for wound healing
has been consistent. This study specifically explores a dressing made by mixing chitosan …
has been consistent. This study specifically explores a dressing made by mixing chitosan …
Data-driven supervised machine learning to predict the compressive response of porous PVA/Gelatin hydrogels and in-vitro assessments: employing design of …
A Khalvandi, L Tayebi, S Kamarian… - International Journal of …, 2023 - Elsevier
The purpose of this study is to design and evaluate a series of porous hydrogels by
considering three independent variables using the Box-Behnken method. Accordingly …
considering three independent variables using the Box-Behnken method. Accordingly …
Experimental and numerical investigation on the effect of core-shell microcapsule sizes on mechanical properties of microcapsule-based polymers
A Teimouri, R Barbaz Isfahani… - Journal of …, 2022 - journals.sagepub.com
In this study, the effect of various microcapsule sizes on the mechanical properties of
microcapsule-based polymeric materials was investigated using the finite element method …
microcapsule-based polymeric materials was investigated using the finite element method …
Application of Artificial Intelligence in tissue engineering
R Bagherpour, G Bagherpour… - Tissue Engineering Part …, 2024 - liebertpub.com
Tissue engineering, a crucial approach in medical research and clinical applications, aims
to regenerate damaged organs. By combining stem cells, biochemical factors, and …
to regenerate damaged organs. By combining stem cells, biochemical factors, and …
Design optimization of additively manufactured sandwich beams through experimentation, machine learning, and imperialist competitive algorithm
A Teimouri, M Alinia, S Kamarian… - Journal of …, 2024 - Taylor & Francis
The primary aim of this study was to optimize 3D-printed sandwich beams incorporating
auxetic cores. Four key design variables were considered: core thickness, width, and two …
auxetic cores. Four key design variables were considered: core thickness, width, and two …