Condensed Matter Seminar
Thermopower through a disordered array of Quantum Dots and Josephson Junctions
Mr. Daniel Amsalem
BGU
Abstract
MSc seminar
We will discuss the theoretical thermopower properties of a disordered JJA model for granular superconductors near the Superconductor-Insulator Transition (SIT). While arrays of quantum dots and Josephson Junctions are ubiquitous in mesoscopic physics, traditional models often fail to capture the full spectrum of SIT phenomena, such as current jumps and hysteresis. Building upon recent frameworks that emphasize the critical role of finite electrostatic relaxation times between tunneling events, I will present a stochastic Gillespie Algorithm based simulation to model a Josephson Junction Array. The primary objective is to formulate falsifiable predictions for yet-untested thermopower experiments on materials exhibiting SIT. Additionally, this work refines the computational methodologies required for such systems, addressing key challenges in steady-state recognition and serial integration.
We will discuss the theoretical thermopower properties of a disordered JJA model for granular superconductors near the Superconductor-Insulator Transition (SIT). While arrays of quantum dots and Josephson Junctions are ubiquitous in mesoscopic physics, traditional models often fail to capture the full spectrum of SIT phenomena, such as current jumps and hysteresis. Building upon recent frameworks that emphasize the critical role of finite electrostatic relaxation times between tunneling events, I will present a stochastic Gillespie Algorithm based simulation to model a Josephson Junction Array. The primary objective is to formulate falsifiable predictions for yet-untested thermopower experiments on materials exhibiting SIT. Additionally, this work refines the computational methodologies required for such systems, addressing key challenges in steady-state recognition and serial integration.