Reaction currents in chemical networks usually increase when increasing their driving affinities.
We first study the flip phenomenon and the dynamics of the flight and then discuss the implications on the game.
Lastly, a possible classification of different shots is proposed.
We argue that NDR implies the existence of optimal affinities that maximize the robustness against environmental and intrinsic noise at intermediate values of dissipation.
An analogous behavior is found in dissipative self-assembly, for which we identify the optimal working conditions set by NDR.
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We find that such negative differential response (NDR) occurs in reaction schemes of major biological relevance, namely, substrate inhibition and autocatalysis.
We do so by deriving the full counting statistics of two minimal representative models using large deviation methods.