  The Chemical Reaction Network (CRN) is a well-studied model that describes
the interaction of molecules in well-mixed solutions. In 2014, Qian and Winfree
[22] proposed the abstract surface chemical reaction network model (sCRN),
which takes the advantage of spatial separation by placing molecules on a
structured surface, limiting the interaction between molecules. In this model,
molecules can only react with their immediate neighbors. Many follow up works
study the computational and pattern-construction power of sCRNs. In this work,
our goal is to describe the power of sCRN by relating the model to other
well-studied models in distributed computation. In this work, our main result
is to show that, given the same initial configuration, sCRN, affinity
strengthening tile automata, cellular automata, and amoebot can all simulate
each other (up to unavoidable rotation and reflection of the pattern). One of
our techniques is a coloring on-the-fly, which allows all molecules in sCRN to
have a global orientation.
