Cargando…
Leveraging autocatalytic reactions for chemical domain image classification
Autocatalysis is fundamental to many biological processes, and kinetic models of autocatalytic reactions have mathematical forms similar to activation functions used in artificial neural networks. Inspired by these similarities, we use an autocatalytic reaction, the copper-catalyzed azide–alkyne cyc...
Autores principales: | Arcadia, Christopher E., Dombroski, Amanda, Oakley, Kady, Chen, Shui Ling, Tann, Hokchhay, Rose, Christopher, Kim, Eunsuk, Reda, Sherief, Rubenstein, Brenda M., Rosenstein, Jacob K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society of Chemistry
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8179570/ https://www.ncbi.nlm.nih.gov/pubmed/34163768 http://dx.doi.org/10.1039/d0sc05860b |
Ejemplares similares
-
Multicomponent molecular memory
por: Arcadia, Christopher E., et al.
Publicado: (2020) -
Digital circuits and neural networks based on acid-base chemistry implemented by robotic fluid handling
por: Agiza, Ahmed A., et al.
Publicado: (2023) -
Encoding information in synthetic metabolomes
por: Kennedy, Eamonn, et al.
Publicado: (2019) -
Secret messaging with endogenous chemistry
por: Kennedy, Eamonn, et al.
Publicado: (2021) -
Autocatalytic chemical networks at the origin of metabolism
por: Xavier, Joana C., et al.
Publicado: (2020)