4D Printing of Shape Memory-Based Personalized Endoluminal Medical Devices.

By Matt Zarek, Nicola Mansour, Shir Shapira, D. Cohn. Macromolecular rapid communications, 2017

346 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering, Polymers and Plastics

View Paper: https://www.semanticscholar.org/paper/2607b4cffc895737085baae597c2bb71a460e6b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Jinsong Leng
2. Xin Lan
3. T. Chou
4. Erik T. Thostenson

In Mechanical Engineering

1. Jinsong Leng
2. Xin Lan
3. M. Invernizzi
4. Stefano Turri
5. T. Chou
6. Marinella Levi
7. Raffaella Suriano
8. Fenghua Zhang

In Polymers and Plastics

1. Jinsong Leng
2. Xin Lan
3. Fenghua Zhang
4. T. Chou
5. Yanju Liu
6. Jinlian Hu
7. Liwu Liu
8. Q. Meng

Citations in the corpus

• 4D printed thermally activated self-healing and shape memory polycaprolactone-based polymers (2018, methodology): “By exploiting DLP technology, a heat-activated SMP was also 4D printed and structured, using a photocurable polycaprolactone (PCL) [31,37].”
• Shape memory behavior and recovery force of 4D printed textile functional composites (2018, background): “Owing to its distinct advantages, 4D printing has been adopted in various technological fields, such as biomimetic structures [7], robotics [8], electronic devices [9], medical devices [10,11] as well as tissue engineering [12,13].”