Top-Ranked Cycle Flux Network Analysis of Molecular Photocells
arXiv:2305.11929 · doi:10.1103/PhysRevE.108.034305
Abstract
We introduce a top-ranked cycle flux ranking scheme of network analysis to assess the performance of molecular junction solar cells. By mapping the Lindblad master equation to the quantum-transition network, we propose a microscopic Hamiltonian description underpinning the rate equations commonly used to characterize molecular photocells. Our approach elucidates the paramount significance of edge flux and unveils two pertinent electron transfer pathways that play equally important roles in robust photocurrent generation. Furthermore, we demonstrate that non-radiative loss processes impede the maximum power efficiency of photocells, which may otherwise be above the Curzon-Ahlborn limit. These findings shed light on the intricate functionalities that govern molecular photovoltaics and offer a comprehensive approach to address them in a systematic way.
14 pages, 8 figures
References in corpus (13)
- Energy Dissipation and Transport in Nanoscale Devices
- Thermodynamic uncertainty relation for biomolecular processes
- Molecular Transport Junctions: Vibrational Effects
- The Josephson heat interferometer
- Colloquium: Quantum heat transport in condensed matter systems
- Directed flow in non-adiabatic stochastic pumps
- Thermoelectric efficiency of three-terminal quantum thermal machines
- Pumping-Restriction Theorem for Stochastic Networks
- Transient fluctuation theorems for the currents and initial equilibrium ensembles
- Cycle Flux Ranking of Network Analysis in Quantum Thermal Device
- Network analysis of the performance of organic photovoltaic cells: The open circuit voltage and the zero current efficiency
- Universal behaviour of Coulomb coupled Fermionic thermal diode
- Fluctuation corrections on thermodynamic functions: Finite size effect