@article {Caprioli2021-ka,
	title = {3D-printed self-healing hydrogels via Digital Light Processing},
	journal = {Nature Communications},
	volume = {12},
	number = {1},
	year = {2021},
	month = {dec},
	pages = {1{\textendash}9},
	publisher = {Nature Research},
	abstract = {Self-healing hydrogels may mimic the behavior of living tissues, which can autonomously repair minor damages, and therefore have a high potential for application in biomedicine. So far, such hydrogels have been processed only via extrusion-based additive manufacturing technology, limited in freedom of design and resolution. Herein, we present 3D-printed hydrogel with self-healing ability, fabricated using only commercially available materials and a commercial Digital Light Processing printer. These hydrogels are based on a semi-interpenetrated polymeric network, enabling self-repair of the printed objects. The autonomous restoration occurs rapidly, at room temperature, and without any external trigger. After rejoining, the samples can withstand deformation and recovered 72\% of their initial strength after 12 hours. The proposed approach enables 3D printing of self-healing hydrogels objects with complex architecture, paving the way for future applications in diverse fields, ranging from soft robotics to energy storage.},
	keywords = {Design, Gels and hydrogels, Polymers, synthesis and processing},
	author = {Caprioli, Matteo and Roppolo, Ignazio and Chiappone, Annalisa and Larush, Liraz and Pirri, Candido Fabrizio and Magdassi, Shlomo}
}
