journal article·2022-12-27Open access

Nanoenabled Trainable Systems: From Biointerfaces to Biomimetics

Pengju Li, Saehyun Kim, Bozhi Tian

ACS Nano· Volume 16· Issue 12

Abstract

In the dynamic biological system, cells and tissues adapt to diverse environmental conditions and form memories, an essential aspect of training for survival and evolution. An understanding of the biological training principles will inform the design of biomimetic materials whose properties evolve with the environment and offer routes to programmable soft materials, neuromorphic computing, living materials, and biohybrid robotics. In this perspective, we examine the mechanisms by which cells are trained by environmental cues. We outline the artificial platforms that enable biological training and examine the relationship between biological training and biomimetic materials design. We place emphasis on nanoscale material platforms which, given their applicability to chemical, mechanical and electrical stimulation, are critical to bridging natural and synthetic systems.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Modular Robots and Swarm Intelligence · Supramolecular Self-Assembly in Materials · Photoreceptor and optogenetics research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Pritzker School of Molecular Engineering, The University of Chicago, Chicago, Illinois 60637, United States

Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States

The James Franck Institute, The University of Chicago, Chicago, Illinois 60637, United States

The Institute for Biophysical Dynamics, University of Chicago, Chicago, Illinois 60637, United States

Funding

Office of Naval Research · National Science Foundation · Zhong Ziyi Educational Foundation

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