Article

Defect Diagnostics in Thin Film Photovoltaics: Leveraging Macroscopic J-V Characteristics for Microscopic Insights via Machine Learning

2025-08-14

Abstract excerpt

Accurately diagnosing microscopic defect properties from macroscopic J-V characteristics in thin-film photovoltaics remains a critical barrier to advancing solar cell efficiency. While experimental techniques like DLTS and admittance spectroscopy directly probe defect states, their widespread adoption is limited by complexity and cost. This study presents an innovative AI-driven framework, using CIGS solar cells a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 1072da60-8ee3-5f7e-bbf2-fbf188c0875c
DOI: 10.22541/au.175519083.36182187/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Defect Diagnostics in Thin Film Photovoltaics: Leveraging Macroscopic J-V Characteristics for Microscopic Insights via Machine LearningDOI 10.22541/au.175519083.36182187/v1Read

From Indoor Electroluminescence to Outdoor Daylight Electroluminescence Imaging: A Comprehensive Review of Techniques, Advances, and AI-Driven PerspectivesSemantic proximity Read

Autonomous Intelligent Monitoring of Photovoltaic Systems: An In-depth Multidisciplinary ReviewSemantic proximity Read

Automatic Fault detection of solar system based on data analysis using IRT images and deep learning CNN - LSTM strategy.Semantic proximity Read

Smart ellipsometry with physics-informed deep learningSemantic proximity Read

Measurement-Coupled Drift--Diffusion Modeling of MCT Photoconductors: From Internal Transport to Measurable ResponseSemantic proximity Read

Universal statistics of nanocrystal photoluminescenceSemantic proximity Read

Photovoltaic Panel Failure Detection Using Class-Conditioned Generative Adversarial NetworksSemantic proximity Read

A Lightweight, Low-Label Framework Towards Autonomous Morphology-Resolved SEM–EDS Analysis in Material MicroscopySemantic proximity Read

Analytical–Computational Integration of Equivalent Circuit Modeling, Hybrid Optimization, and Statistical Validation for Electrochemical Impedance SpectroscopySemantic proximity Read

Predicting the Synthesizability of Crystalline Inorganic Materials from the Data of Known Material CompositionsSemantic proximity Read

Nanostructures GaAs Solar CellsSemantic proximity Read

Detangling electrolyte chemical dynamics and evolution in Li-S batteries by operando monitoring with optical resonance combsSemantic proximity Read