Purdue University Graduate School
Browse

File(s) under embargo

5

month(s)

19

day(s)

until file(s) become available

A FINITE ELEMENT AND MACHINE LEARNING STUDY OF 3D PEROVSKITE SOLAR CELL: EFFECT OF LAYER THICKNESS AND DELAMINATION

thesis
posted on 2024-05-13, 16:58 authored by Sulove TimsinaSulove Timsina

This research presents a comprehensive study of a 3D Perovskite Solar Cell model using Finite Element Analysis (FEA) and Machine Learning (ML). The research aims (i) to understand how material properties impact solar cell’s performance by applying basic semiconductor physics principles (ii) to investigate how interfacial delamination affects the performance of Perovskite solar cells (iii) to determine the optimum thickness of different layers of the solar cell (iv) to determine the fatigue life cycle of Perovskite layer.

History

Degree Type

  • Master of Science

Department

  • Mechanical Engineering

Campus location

  • Hammond

Advisor/Supervisor/Committee Chair

Hansung Kim

Additional Committee Member 2

Xiuling Wang

Additional Committee Member 3

Yun Liu

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC