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Ferroelectric polymers have drawn a lot of research concernsrecentlydue to their lightness, mechanical flexibility, conformability, andfacile processability. Remarkably, these polymers can be used to fabricatebiomimetic devices, such as artificial retina or electronic skin,to realize artificial intelligence. The artificial visual system behavesas a photoreceptor, converting incoming light into electric signals.The most widely studied ferroelectric polymer, poly-（vinylidene fluoride-trifluoroethylene）[P-（VDF-TrFE）], can be used as the building block in this visual systemto implement synaptic signal generation. There is a void in computationalinvestigations on the complicated working picture of P-（VDF-TrFE）-basedartificial retina from a microscopic mechanism to a macroscopic mechanism.Therefore, a multiscale simulation method combining quantum chemistrycalculations, first-principles calculations, Monte Carlo simulations,and the Benav model was established to illustrate the whole workingprinciple, involving synaptic signal transduction and consequent communicationwith neuron cells, of the P-（VDF-TrFE）-based artificial retina. Thisnewly developed multiscale method not only can be further appliedto other energy-harvesting systems involving synaptic signals butalso would be helpful to build microscopic/macroscopic pictures withinthese energy-harvesting devices.
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