Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Perovskite solar cells (PSCs) have developed rapidly, positioning them as potential
candidates for next-generation renewable energy sources. However, conventional trial-and …
candidates for next-generation renewable energy sources. However, conventional trial-and …
A Comprehensive Review of Machine Learning Applications in Perovskite Solar Cells: Materials Discovery, Device Performance, Process Optimization and Systems …
Perovskite solar cells (PSCs) have shown great promise as a third-generation photovoltaic
technology, with power conversion efficiencies (PCEs) rising from 3.8% to 26.7% within a …
technology, with power conversion efficiencies (PCEs) rising from 3.8% to 26.7% within a …
Deep learning for augmented process monitoring of scalable perovskite thin-film fabrication
Reproducible large-area fabrication is one of the remaining challenges for the
commercialization of perovskite photovoltaics. Imaging methods augmented with deep …
commercialization of perovskite photovoltaics. Imaging methods augmented with deep …
Discovering Process Dynamics for Scalable Perovskite Solar Cell Manufacturing with Explainable AI
Large‐area processing of perovskite semiconductor thin‐films is complex and evokes
unexplained variance in quality, posing a major hurdle for the commercialization of …
unexplained variance in quality, posing a major hurdle for the commercialization of …
Modeling and Fundamental Dynamics of Vacuum, Gas, and Antisolvent Quenching for Scalable Perovskite Processes
Hybrid perovskite photovoltaics (PVs) promise cost‐effective fabrication with large‐scale
solution‐based manufacturing processes as well as high power conversion efficiencies …
solution‐based manufacturing processes as well as high power conversion efficiencies …
Wide‐Gap Perovskites for Indoor Photovoltaics
Organic–inorganic halide perovskite semiconductors have revolutionized next‐generation
photovoltaics (PV) due to several characteristics such as solution‐processability, gap …
photovoltaics (PV) due to several characteristics such as solution‐processability, gap …
Machine‐Learning Accelerating the Development of Perovskite Photovoltaics
T Liu, S Wang, Y Shi, L Wu, R Zhu, Y Wang, J Zhou… - Solar …, 2023 - Wiley Online Library
Perovskite solar cells (PSC) are a potential candidate for next‐generation photovoltaic
technology. Despite the significant advancements in the field of PSCs, the ongoing …
technology. Despite the significant advancements in the field of PSCs, the ongoing …
Hybrid Two‐Step Inkjet‐Printed Perovskite Solar Cells
Perovskite photovoltaics are on their way to commercialization, but crucial advancements
are still required to realize scalable and reliable fabrication processes Concerning solution …
are still required to realize scalable and reliable fabrication processes Concerning solution …
Intensity Dependent Photoluminescence Imaging for In‐Line Quality Control of Perovskite Thin Film Processing
Large area fabrication of high‐quality polycrystalline perovskite thin films remains one of the
key challenges for the commercial readiness of perovskite photovoltaic (PV). To enable high …
key challenges for the commercial readiness of perovskite photovoltaic (PV). To enable high …
[HTML][HTML] Specific surface area (SSA) of perovskites with uncertainty estimation approach
In recent years, the rapid development of computer technology and the Internet has enabled
faster and more convenient data acquisition. Using big data and machine learning (ML) to …
faster and more convenient data acquisition. Using big data and machine learning (ML) to …