Development of Zn<sub>1-x</sub>Sn<sub>x</sub>O and Mg<sub>1-x</sub>Sn<sub>x</sub>O transparent conducting oxide thin films for perovskite solar cell applications. [PDF]
Kiruthiga G +9 more
europepmc +1 more source
Counter‐halide engineering of fluorobenzylammonium surface passivators reveals bromide as the optimal partner for wide‐bandgap perovskites. FBz–Br effectively stabilizes halide‐vacancy‐related defects and undercoordinated Pb sites, suppresses non‐radiative recombination, and enhances surface hydrophobicity and thermal stability.
Huyen Tran +17 more
wiley +1 more source
Unravelling interdisciplinary interactions and researcher migration across the evolution of perovskite solar cell research through comprehensive bibliometrics. [PDF]
Yeo JS, Kim AR.
europepmc +1 more source
Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang +17 more
wiley +1 more source
Boosting planar perovskite solar cell performance <i>via</i> peripheral end-group engineering of phenoxazine-core hole transport materials. [PDF]
Ravi M +7 more
europepmc +1 more source
Assessing Photovoltaic Recycling Capacities and Policy Gaps in the European Union
This study maps photovoltaic recycling capacity in the EU and key global regions, highlighting gaps between growing waste volumes and available infrastructure. It combines survey insights and policy analysis to identify recycling bottlenecks and offers recommendations to boost circularity in the solar sector.
Nieves Espinosa +3 more
wiley +1 more source
Recent Advances and Remaining Challenges in Perovskite Solar Cell Components for Innovative Photovoltaics. [PDF]
Baraneedharan P +6 more
europepmc +1 more source
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez +4 more
wiley +1 more source
Pyridinium Cations Act as Charge Reservoirs in Expanded Halide Perovskite Analogs at High Pressure
Redox‐innocent pyridinium derivatives can act as charge reservoirs in expanded tin‐iodide perovskite analogs. Material compression reduces the energy gap between the pyridinium π* acceptor orbital and the valence‐band maximum, facilitating electron transfer from the framework to the molecules and thereby significantly increasing electronic conductivity
Christina R. Deschene +7 more
wiley +2 more sources
Light Absorption-Enhanced Ultra-Thin Perovskite Solar Cell Based on Cylindrical MAPbI3 Microstructure. [PDF]
Fu W +5 more
europepmc +1 more source

