@inproceedings{d008a86e261d4c978fa4f011755378a2,
title = "Stochastic analysis of advanced photovoltaic devices",
abstract = "First generation photovoltaics have made significant progress and are nearing their maximum potential. This has largely been accomplished because the materials are well understood, allowing present simulation tools, such as AMPS, wxAMPS, SCAPS, AFORS-HET, and ADEPT to describe their behaviors well. In more complicated materials, the device may physically change during use, as debated concerning CIGS metastabilities, making it difficult to model and design. Even more troublesome are organic photovoltaics that exhibit highly dispersive transport and critical sensitivity to interface recombination and charge transport. The fixed nature of the present photovoltaic simulation tools provides limited insight into experimental results. This paper describes a new software tool based on a stochastic approach to improve modeling of these complex devices.",
keywords = "Numerical simulation, photovoltaics, semiconductor device modeling, software, stochastic",
author = "Heinzel, {Daniel P.} and Wu, {Hongyi Michael} and Angus Rockett",
year = "2014",
month = oct,
day = "15",
doi = "10.1109/PVSC.2014.6925476",
language = "English (US)",
series = "2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2656--2661",
booktitle = "2014 IEEE 40th Photovoltaic Specialist Conference, PVSC 2014",
address = "United States",
note = "40th IEEE Photovoltaic Specialist Conference, PVSC 2014 ; Conference date: 08-06-2014 Through 13-06-2014",
}