Stability follows efficiency based on the analysis of a large perovskite solar cells ageing dataset
While perovskite solar cells have reached competitive efficiency values during the last
decade, stability issues remain a critical challenge to be addressed for pushing this …
decade, stability issues remain a critical challenge to be addressed for pushing this …
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 …
Artificial Intelligence-Based, Wavelet-Aided Prediction of Long-Term Outdoor Performance of Perovskite Solar Cells
The commercial development of perovskite solar cells (PSCs) has been significantly
delayed by the constraint of performing time-consuming degradation studies under real …
delayed by the constraint of performing time-consuming degradation studies under real …
Optimizing the performance of vapor-deposited perovskite solar cells through advanced predictive modeling
SH Godasiaei - Journal of Materials Science, 2024 - Springer
Perovskite solar cells have emerged as a promising frontier in the realm of renewable
energy due to their notable attributes of high efficiency and cost-effectiveness. This study …
energy due to their notable attributes of high efficiency and cost-effectiveness. This study …
Universal Workflow Language and Software Enables Geometric Learning and FAIR Scientific Protocol Reporting
The modern technological landscape has trended towards increased precision and greater
digitization of information. However, the methods used to record and communicate scientific …
digitization of information. However, the methods used to record and communicate scientific …
Exploring the influence of crystallization fouling on microscale heat exchangers through machine learning analysis
SH Godasiaei - Numerical Heat Transfer, Part A: Applications, 2024 - Taylor & Francis
Crystallization deposition within micro-scale heat exchangers poses significant challenges
to their efficiency and functionality, stemming from the accumulation of crystalline residues …
to their efficiency and functionality, stemming from the accumulation of crystalline residues …
Machine Learning Approaches in Advancing Perovskite Solar Cells Research
S Subba, P Rai, S Chatterjee - Advanced Theory and Simulations - Wiley Online Library
The integration of machine learning (ML) with perovskite solar cells (PSCs) signifies a
groundbreaking era in photovoltaic (PV) technology. The traditional iterative approaches in …
groundbreaking era in photovoltaic (PV) technology. The traditional iterative approaches in …