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Roadmap for Animate Matter

Authors :
Volpe, Giorgio
Araújo, Nuno A. M.
Guix, Maria
Miodownik, Mark
Martin, Nicolas
Alvarez, Laura
Simmchen, Juliane
Di Leonardo, Roberto
Pellicciotta, Nicola
Martinet, Quentin
Palacci, Jérémie
Ng, Wai Kit
Saxena, Dhruv
Sapienza, Riccardo
Nadine, Sara
Mano, João F.
Mahdavi, Reza
Adiels, Caroline Beck
Forth, Joe
Santangelo, Christian
Palagi, Stefano
Seok, Ji Min
Webster-Wood, Victoria A.
Wang, Shuhong
Yao, Lining
Aghakhani, Amirreza
Barois, Thomas
Kellay, Hamid
Coulais, Corentin
van Hecke, Martin
Pierce, Christopher J.
Wang, Tianyu
Chong, Baxi
Goldman, Daniel I.
Reina, Andreagiovanni
Trianni, Vito
Volpe, Giovanni
Beckett, Richard
Nair, Sean P.
Armstrong, Rachel
Publication Year :
2024

Abstract

Humanity has long sought inspiration from nature to innovate materials and devices. As science advances, nature-inspired materials are becoming part of our lives. Animate materials, characterized by their activity, adaptability, and autonomy, emulate properties of living systems. While only biological materials fully embody these principles, artificial versions are advancing rapidly, promising transformative impacts across various sectors. This roadmap presents authoritative perspectives on animate materials across different disciplines and scales, highlighting their interdisciplinary nature and potential applications in diverse fields including nanotechnology, robotics and the built environment. It underscores the need for concerted efforts to address shared challenges such as complexity management, scalability, evolvability, interdisciplinary collaboration, and ethical and environmental considerations. The framework defined by classifying materials based on their level of animacy can guide this emerging field encouraging cooperation and responsible development. By unravelling the mysteries of living matter and leveraging its principles, we can design materials and systems that will transform our world in a more sustainable manner.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2407.10623
Document Type :
Working Paper