DOI: 10.31274/etd-180810-5369
|View full text |Cite
|
Sign up to set email alerts
|

Modular and Robust Computation with Deterministic Chemical Reaction Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1

Citation Types

0
3
0

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(3 citation statements)
references
References 53 publications
(72 reference statements)
0
3
0
Order By: Relevance
“…A chemical reaction network is defined as a finite set of reactions involving a finite number of species [14], where these reactions occur in a wellstirred environment, aiming to realize a function or algorithm via mass action chemical reactions. Specific chemical reaction networks have already been designed for signal restoration, noise filtering, and finite automata, respectively, through a discipline known as molecular programming [15].…”
Section: B An I1-ffl-inspired Chemical Reaction Networkmentioning
confidence: 99%
“…A chemical reaction network is defined as a finite set of reactions involving a finite number of species [14], where these reactions occur in a wellstirred environment, aiming to realize a function or algorithm via mass action chemical reactions. Specific chemical reaction networks have already been designed for signal restoration, noise filtering, and finite automata, respectively, through a discipline known as molecular programming [15].…”
Section: B An I1-ffl-inspired Chemical Reaction Networkmentioning
confidence: 99%
“…A chemical reaction network is defined as a finite set of reactions involving a finite number of species [21], where these reactions occur in a wellstirred environment, aiming to realize a function or algorithm via mass action chemical reactions. Specific chemical reaction networks have already been designed for signal restoration, noise filtering, and finite automata, respectively, through a discipline known as molecular programming [33].…”
Section: System Modelmentioning
confidence: 99%
“…for signal restoration, noise filtering, and finite automata, respectively, through a discipline known as molecular programming [30].…”
Section: System Modelmentioning
confidence: 99%