Programmable responsive hydrogels inspired by classical conditioning algorithm
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A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2019-07-22
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Mcode
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Language
en
Pages
8
1-8
1-8
Series
Nature Communications, Volume 10
Abstract
Living systems have inspired research on non-biological dynamic materials and systems chemistry to mimic specific complex biological functions. Upon pursuing ever more complex life-inspired non-biological systems, mimicking even the most elementary aspects of learning is a grand challenge. We demonstrate a programmable hydrogel-based model system, whose behaviour is inspired by associative learning, i.e., conditioning, which is among the simplest forms of learning. Algorithmically, associative learning minimally requires responsivity to two different stimuli and a memory element. Herein, nanoparticles form the memory element, where a photoacid-driven pH-change leads to their chain-like assembly with a modified spectral behaviour. On associating selected light irradiation with heating, the gel starts to melt upon the irradiation, originally a neutral stimulus. A logic diagram describes such an evolution of the material response. Coupled chemical reactions drive the system out-of-equilibrium, allowing forgetting and memory recovery. The findings encourage to search nonbiological materials towards associative and dynamic properties.Description
| openaire: EC/H2020/679646/EU//PHOTOTUNE Lehdessä mainitaan rahoituksessa myös fysiikan H2020 DRIVEN-projekti, mutta eri grant-numerolla, jota ei löydy Cordiksesta.
Keywords
GOLD NANOPARTICLES, SIZE, ABSORPTION, SYSTEMS, SHAPE
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Citation
Zhang, H, Zeng, H, Priimagi, A & Ikkala, O 2019, ' Programmable responsive hydrogels inspired by classical conditioning algorithm ', Nature Communications, vol. 10, 3267, pp. 1-8 . https://doi.org/10.1038/s41467-019-11260-3
