Abstract
Molecular non-equilibrium systems are appealing for developing artificial life-like systems, holding great promises for the nanotechnology of the future. Yet, their development is slowed by the absence of a straightforward and informative representation under non-equilibrium conditions. Indeed, while potential energy surfaces comprise in principle all the information, they hide the dynamic interplay of multiple reaction pathways underlying non-equilibrium systems, i.e., the degree of kinetic asymmetry. To offer an insightful visual representation of kinetic asymmetry, we extended an approach pertaining to catalytic networks, the energy span model. This advancement becomes possible by implementing a holistic approach to complex networks, which focuses on system dynamics – rather than thermodynamics. This approach encompasses both chemically and photochemically driven systems, ranging from unimolecular motors to simple self-assembly schemes. The obtained kinetic asymmetry profiles give immediate access to information needed to guide experiments, such as states’ population, rate of machine operation, maximum work output, and effects of design changes. Kinetic asymmetry profiles offer a unifying framework for disparate non-equilibrium phenomena, facilitating the realization of chemical engines.
Supplementary materials
Title
Supplementary information
Description
Supplementary information
Actions