Computational Design of Reaction-Diffusion Patterns Using DNA-Based Chemical Reaction Networks

Author(s):  
Neil Dalchau ◽  
Georg Seelig ◽  
Andrew Phillips
Soft Matter ◽  
2020 ◽  
Vol 16 (14) ◽  
pp. 3555-3563 ◽  
Author(s):  
Sifang Chen ◽  
Georg Seelig

We report programmable reaction–diffusion patterns in DNA-based hydrogels, simulated and designed in silico using chemical reaction networks.


2018 ◽  
Vol 9 (1) ◽  
pp. 121-140
Author(s):  
Nathan Muyinda ◽  
Bernard De Baets ◽  
Shodhan Rao

Abstract We identify sufficient conditions for the stability of some well-known finite difference schemes for the solution of the multivariable reaction-diffusion equations that model chemical reaction networks. Since the equations are mainly nonlinear, these conditions are obtained through local linearization. A recurrent condition is that the Jacobian matrix of the reaction part evaluated at some positive unknown solution is either D-semi-stable or semi-stable. We demonstrate that for a single reversible chemical reaction whose kinetics are monotone, the Jacobian matrix is D-semi-stable and therefore such schemes are guaranteed to work well.


2009 ◽  
Vol 15 (5) ◽  
pp. 578-597
Author(s):  
Marcello Farina ◽  
Sergio Bittanti

2021 ◽  
Author(s):  
Samuel M. Blau ◽  
Hetal D Patel ◽  
Evan Walter Clark Spotte-Smith ◽  
Xiaowei Xie ◽  
Shyam Dwaraknath ◽  
...  

Modeling reactivity with chemical reaction networks could yield fundamental mechanistic understanding that would expedite the development of processes and technologies for energy storage, medicine, catalysis, and more. Thus far, reaction...


2020 ◽  
Vol 53 (2) ◽  
pp. 11497-11502
Author(s):  
Lőrinc Márton ◽  
Katalin M. Hangos ◽  
Gábor Szederkényi

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