A novel machine learning-based computational framework for predicting microscale morphological changes of plant cells during drying DOI Creative Commons

Chanaka Prabuddha Batuwatta Gamage

Published: Jan. 1, 2024

This thesis proposes a novel and effective physics-informed machine learning framework to explore microscale variations in plant-based foods during drying. By initiating fundamental numerical investigations at the cellular level—which significantly influence bulk-level changes—this research highlights framework's robustness flexibility over traditional methods like FEA meshfree particle-based methods. The work demonstrates considerable potential for employing this learning-based computational modelling technique complex, nonlinear showcasing its superiority analysing predicting drying process of efficiently accurately.

Language: Английский

Quasi-rigid folding and geometric optimization of Kresling origami for highly improved foldability and load-bearing capacity DOI Creative Commons
Mingjin Cao, Li‐Qun Chen, Qiyao Li

et al.

Engineering Structures, Journal Year: 2025, Volume and Issue: 334, P. 120274 - 120274

Published: April 10, 2025

Language: Английский

Citations

0
Progressive DNN-metaheuristics for programmable broadband mechanical metamaterial absorbers design DOI
Tae Sun Park,

Dowon Noh,

Jeongwoo Lee

et al.

International Journal of Mechanical Sciences, Journal Year: 2025, Volume and Issue: unknown, P. 110297 - 110297

Published: April 1, 2025

Language: Английский

Citations

0
Enhancing compressive mechanical properties of anisotropic shell-based architected materials DOI
Xinghao Wang, Ziming Yan, Shu Guo

et al.

Composite Structures, Journal Year: 2025, Volume and Issue: unknown, P. 119240 - 119240

Published: May 1, 2025

Language: Английский

Citations

0
A two-step scaled physics-informed neural network for non-destructive testing of hull rib damage DOI
Xiaoqi Chen, Yongzhen Wang, Qinglei Zeng

et al.

Ocean Engineering, Journal Year: 2024, Volume and Issue: 319, P. 120260 - 120260

Published: Dec. 31, 2024

Language: Английский

Citations

1
Design and Analysis of Kresling Origami-Inspired Reconfigurable Intelligent Dynamic Shading System DOI
Zhang Ji, Tianyu Gao, Shuai Liu

et al.

Published: Jan. 1, 2024

Language: Английский

Citations

0
Kinematotropic linkage-based cellular metamaterials with bifurcation motion: Construction and analysis DOI
Yongquan Li,

Haojie Huang,

Yiwen Liu

et al.

International Journal of Mechanical Sciences, Journal Year: 2024, Volume and Issue: 279, P. 109487 - 109487

Published: Oct. 1, 2024

Language: Английский

Citations

0
A novel machine learning-based computational framework for predicting microscale morphological changes of plant cells during drying DOI Creative Commons

Chanaka Prabuddha Batuwatta Gamage

Published: Jan. 1, 2024

This thesis proposes a novel and effective physics-informed machine learning framework to explore microscale variations in plant-based foods during drying. By initiating fundamental numerical investigations at the cellular level—which significantly influence bulk-level changes—this research highlights framework's robustness flexibility over traditional methods like FEA meshfree particle-based methods. The work demonstrates considerable potential for employing this learning-based computational modelling technique complex, nonlinear showcasing its superiority analysing predicting drying process of efficiently accurately.

Language: Английский

Citations

0