Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points-Reference-Cited by-同舟云学术

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Detection and comparison of reversible shape transformations in responsive polymers using deep learning and knowledge transfer by identifying stimulus-triggering characteristic points

Published:2024-10 Issue: Volume:136 Page:109038
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Abhishek Chandramohan^ORCID,Raghukiran Nadimpalli^ORCID

Publisher

Elsevier BV

Reference67 articles.

1. A viscoelastic-viscoplastic damage model with a cohesive zone in between;Abhishek;Int. J. Non Lin. Mech.,2024

2. Reversible shape transformations through continuous deformations in soft responsive self-repairing solids using voxel techniques;Abhishek;Mater. Des.,2024

3. Continuum and subcontinuum simulation of FDM process for 4D printed shape memory polymers;Akbar;J. Manuf. Process.,2022

4. Extrusion-based additive manufacturing technologies: state of the art and future perspectives;Altıparmak;J. Manuf. Process.,2022

5. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions;Alzubaidi;J. Big Data,2021

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