machine learning toolsperovskite solar cellsstabilityWithin a short period of time, perovskite solar cells (PSC) have attracted paramount research interests among the photovoltaic (PV) community. Usage of machine learning (ML) into PSC research is significantly accelerated their holistic understa...
machine learningperovskite materialsperovskite solar cellsIn article number 1901891, Jayan Thomas and co‐workers use machine learning (ML) to optimize material composition and predict design strategies and performance of perovskite solar cells. The trend of ML predictions matches well with the Shockley‐...
For making a high performing solar cell, the selection of good absorber material is of utmost important. Fig. 1 illustrates the flowchart of machine learning guided prediction of suitable bandgap perovskite materials for IPV applications. General ML workflow involves the construction of database, featu...
The development of materials is one of the driving forces to accelerate modern scientific progress and technological innovation. Machine learning (ML) technology is rapidly developed in many fields and opening blueprints for the discovery and rational de
For the ML investigation, we first generated a dataset of the electronic structures of halide double perovskites. Figure1apresents the crystal structure of the double perovskiteA2B1+B3+X6. Compared to the original perovskite, this structure incorporates two different types of cations,B1+andB3+, ins...
(Eg)3,4. ABO3-type perovskite oxide has gradually become a research hotspot in modern industrial catalysis and thermoelectricity for the controllable structure, outstanding stability and low cost5,6. Inorganic double perovskite has aroused an interest in solar cells and light-emitting diodes because ...
Machine learning (ML) is emerging to accelerate the exploration and development of new perovskite solar cells (PSCs). Herein, we use the ML with advanced algorithms to predict five unexplored (FAPbI3)x(MAPbBr2.8Cl0.2)1-x perovskites with low bandgaps for experimental guidance. The short circu...
Surface Energy Engineering of Buried Interface for Highly Stable Perovskite Solar Cells with Efficiency Over 25% The SEE of a buried interface paves a new way towardhigh-efficiency, stable perovskite solar cells.doi:10.1002/adma.202306724Hang Su... H Su,Z Xu,Xilai HeYuying YaoXinxin ZhengYuton...
With extraordinarily high efficiency, low cost, and excellent stability, 2D perovskite has demonstrated a great potential to revolutionize photovoltaics technology. However, inefficient material structure representations have significantly hindered artif
Machine Learning Accelerated Insights of Perovskite Materials Chapter © 2021 Identifying Pb-free perovskites for solar cells by machine learning Article Open access 26 March 2019 Data availability The datasets and code generated during the current study are available online at https://github.com...