Thermodynamic networks using non-equilibrium steady states achieve universal function approximation when engineered with negative differential conductance, as shown in quantum dot and enzymatic examples for sine fitting and MNIST classification.
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Flux control creates flat bands in a frustrated bosonic lattice that suppress heat loss and raise Otto-cycle work extraction while Stirling cycles gain work over wider ranges at lower efficiency.
citing papers explorer
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Thermodynamic Networks: Harnessing Non-Equilibrium Steady States for Computation
Thermodynamic networks using non-equilibrium steady states achieve universal function approximation when engineered with negative differential conductance, as shown in quantum dot and enzymatic examples for sine fitting and MNIST classification.
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Bosonic Working Media in a Frustrated Rhombi Chain: Otto and Stirling Cycles from Flat Bands, Caging, and Flux Control
Flux control creates flat bands in a frustrated bosonic lattice that suppress heat loss and raise Otto-cycle work extraction while Stirling cycles gain work over wider ranges at lower efficiency.