Drift-Diffusion Modeling and Defect Dynamics in Perovskite Solar Cells
Project Description
This project will explore the fundamental physics of ionic and electronic defects in perovskite solar cells using drift-diffusion equations. Students will analyze how defects and ion migration impact charge transport and recombination in wide-gap perovskite materials. By combining theoretical modeling with experimental data, the project aims to enhance the understanding of quasi-Fermi level splitting (QFLS), open-circuit voltage losses, and the influence of defects on device performance and stability.
Key tasks include:
1. Theoretical Modeling: Employ drift-diffusion simulations to study charge carrier and defect dynamics.
2. Experimental Validation: Correlate simulation outcomes with experimental results (provided by postgraduate students), particularly on QFLS-VOC mismatch and ionic migration.
3. Optimization Strategies: Propose defect passivation and interface engineering solutions based on the findings.
Key tasks include:
1. Theoretical Modeling: Employ drift-diffusion simulations to study charge carrier and defect dynamics.
2. Experimental Validation: Correlate simulation outcomes with experimental results (provided by postgraduate students), particularly on QFLS-VOC mismatch and ionic migration.
3. Optimization Strategies: Propose defect passivation and interface engineering solutions based on the findings.
Supervisor
LIN, Yen Hung
Quota
2
Course type
UROP3200
Applicant's Roles
1. Learn Fundamentals: Study the principles of drift-diffusion models and their application in perovskite solar cells.
2. Simulation Work: Implement and analyze simulations using software like SCAPS.
3. Data Analysis: Interpret experimental data (e.g., photoluminescence, X-ray diffraction, current-voltage characterization) to validate theoretical predictions.
4. Report Findings: Summarize insights into a report and present results.
2. Simulation Work: Implement and analyze simulations using software like SCAPS.
3. Data Analysis: Interpret experimental data (e.g., photoluminescence, X-ray diffraction, current-voltage characterization) to validate theoretical predictions.
4. Report Findings: Summarize insights into a report and present results.
Applicant's Learning Objectives
1. Deepen Knowledge: Gain a comprehensive understanding of defect physics, ionic migration, and charge transport in perovskites.
2. Develop Skills: Acquire technical expertise in modeling tools and correlate simulation with experimental characterization outcome, inferring solar cells' physical parameters.
3. Critical Thinking: Enhance problem-solving abilities by investigating defect-driven challenges in solar cells.
4. Communication: Improve skills in presenting complex concepts clearly and effectively through written and oral presentations.
2. Develop Skills: Acquire technical expertise in modeling tools and correlate simulation with experimental characterization outcome, inferring solar cells' physical parameters.
3. Critical Thinking: Enhance problem-solving abilities by investigating defect-driven challenges in solar cells.
4. Communication: Improve skills in presenting complex concepts clearly and effectively through written and oral presentations.
Complexity of the project
Challenging