Results 131 to 140 of about 8,117 (246)
A wide process window is essential for the commercialization of perovskite photovoltaics. Here, we demonstrate an amorphous π‐conjugated passivator having an asymmetric mono‐iodine substituent on a carbazole moiety imparts a high dipole moment, desirable molecular energy levels, and high thickness tolerance, thereby enabling a wide process window in ...
Hyun Seo Kim +17 more
wiley +1 more source
Maximum power point tracking of photovoltaic module based on Particle Swarm Optimization enhanced with Quasi-Newton method. [PDF]
Abdelsattar M +3 more
europepmc +1 more source
Multiscale perspectives on how excess charges in soft lead halide perovskites induce operational instability in photovoltaic devices are presented. Localized carriers formed under thermodynamic non‐equilibrium states modify atomistic interactions and drive lattice distortions, accelerating device degradation.
Joo‐Hong Lee +6 more
wiley +1 more source
An application of solvent and thermal treatment to recover materials from photovoltaic module encapsulated with polyolefin elastomer. [PDF]
Zubas AR +4 more
europepmc +1 more source
High‐Performance Noble‐Metal‐Free Perovskite Solar Cells Enabled by MoOX/Cr/Al Multilayer Electrodes
Cost‐effective perovskite solar cells (PSCs) are developed using a noble‐metal‐free MoOX/Cr/Al multilayer electrode. The devices achieve a power conversion efficiency (PCE) of 25.6%, competitive with that of Au‐based devices (26.3%), and a 25.5 cm2 mini‐module shows 21.3% PCE.
Wooyeon Kim +7 more
wiley +1 more source
Thermal management of photovoltaic module using affordable organic phase change material combined with nano metal oxide particles enhancer. [PDF]
Phukaokaew W +3 more
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Integration of a physical solar cell model into Bayesian optimization is performed using the Knowledge Gradient acquisition function to balance exploration and exploitation. Experimental validation on the PTQ10:BTP‐eC9 material system and statistical validation on an OPV benchmark function show that the model‐based approach outperforms conventional ...
Leonard Christen, Thomas Kirchartz
wiley +1 more source
Design optimization of large-scale bifacial photovoltaic module frame using deep learning surrogate model. [PDF]
Han D, Kim S.
europepmc +1 more source
All-Waste Hybrid Composites with Waste Silicon Photovoltaic Module. [PDF]
Cosnita M, Manciulea I, Cazan C.
europepmc +1 more source

