We introduce the theory of chemical reaction networks and their relation to stochastic Petri nets — important ways of modeling population biology and many other fields. We explain how techniques from quantum mechanics can be used to study these models. This relies on a profound and still mysterious analogy between quantum theory and probability theory, which we explore in detail. We also give a tour of key results concerning chemical reaction networks and Petri nets
Graphical Models have various applications in science and engineering which include physics, bioinfo...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Abstract. Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed t...
Some ideas from quantum theory are just beginning to percolate back to classical prob-ability theory...
Anderson, Craciun and Kurtz have proved that a stochastically modelled chemical reaction system with...
Reaction networks are a general formalism for describing collections of classical entities interacti...
Anderson, Craciun, and Kurtz have proved that a stochastically modelled chemical reaction system wit...
From the Washington University Senior Honors Thesis Abstracts (WUSHTA), Spring 2018. Published by th...
Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Sto...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
We provide a short review of stochastic modeling in chemical reaction networks for mathematical and ...
Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects ...
Reaction diffusion systems describe the behaviour of dynamic, interacting, particulate systems. Quan...
In the last two decades, network science has proven to be an invaluable tool for the analysis of emp...
The scientific activity presented within this thesis is mainly dedicated to the mathematical study o...
Graphical Models have various applications in science and engineering which include physics, bioinfo...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Abstract. Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed t...
Some ideas from quantum theory are just beginning to percolate back to classical prob-ability theory...
Anderson, Craciun and Kurtz have proved that a stochastically modelled chemical reaction system with...
Reaction networks are a general formalism for describing collections of classical entities interacti...
Anderson, Craciun, and Kurtz have proved that a stochastically modelled chemical reaction system wit...
From the Washington University Senior Honors Thesis Abstracts (WUSHTA), Spring 2018. Published by th...
Motivated by the intriguing complexity of biochemical circuitry within individual cells we study Sto...
In this talk, we present stochastic modeling and computational methods for the time-evolution of rea...
We provide a short review of stochastic modeling in chemical reaction networks for mathematical and ...
Noise-assisted transport phenomena highlight the nontrivial interplay between environmental effects ...
Reaction diffusion systems describe the behaviour of dynamic, interacting, particulate systems. Quan...
In the last two decades, network science has proven to be an invaluable tool for the analysis of emp...
The scientific activity presented within this thesis is mainly dedicated to the mathematical study o...
Graphical Models have various applications in science and engineering which include physics, bioinfo...
Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analyzed through sol...
Abstract. Stochastic evolution of Chemical Reactions Networks (CRNs) over time is usually analysed t...