Frontiers of biological material intelligence
Name
43577_2025_Article_987.pdf
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2.94 MB
Format
Adobe PDF
Checksum (MD5)
ca971ab9c64eda3654bc197c9f983e14
Author(s)
Marom, Lee
Buehler, Markus J.
Date Issued
November 26, 2025
Journal
MRS Bulletin
Publisher
Springer International Publishing
Citation
Marom, L., Buehler, M.J. Frontiers of biological material intelligence. MRS Bulletin (2025).
Version
Final published version
Abstract
Biological materials exhibit a form of intelligence that enables them to sense, adapt, and self-optimize in response to their environments. Unlike synthetic materials, which are often designed for singular, static functions, natural material systems integrate sensing, memory, and feedback directly into their architectures. As industries face increasing demands for resilience, sustainability, and efficiency, the development of intelligent materials has become a promising step toward the future of material innovation. Advances in artificial intelligence and machine learning, along with mathematical frameworks spanning graph theory and category theory, provide powerful tools to uncover the underlying design principles of intelligent biological materials. Simultaneously, digital fabrication methods, including additive manufacturing and biofabrication, allow the scalable realization of adaptive material systems. As the integration of deep biological insight, computational modeling, and advanced fabrication continues to evolve, it sets the stage for a profound shift in how we conceive, create, and deploy materials. Advancing this convergence will accelerate the development of intelligent systems that are capable of autonomous adaptation, long-term resilience, and embedded functionality across scales and environments.
MIT Department
Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics
Massachusetts Institute of Technology. Department of Mechanical Engineering
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Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1557/s43577-025-00987-8
