Results 81 to 90 of about 1,108 (256)
A lead‐free perovskite memristive solar cell structure that call emulate both synaptic and neuronal functions controlled by light and electric fields depending on top electrode type. ABSTRACT Memristive devices based on halide perovskites hold strong promise to provide energy‐efficient systems for the Internet of Things (IoT); however, lead (Pb ...
Michalis Loizos +4 more
wiley +1 more source
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley +1 more source
Stability of PEA2PbBr4 Thin‐Film Photodetectors under Thermal and Moisture Stress
This study investigates the environmental durability of 2D perovskite photodetectors under extreme heat and humidity. While pristine films degrade in harsh environmental conditions, adding a halogen‐bonding agent significantly improves stability. This passivated device maintains stable performance in conditions mimicking space and solar applications ...
Sara Cepić +3 more
wiley +1 more source
Porous polymer monoliths embedded with sensitizer–annihilator dye pairs enable efficient solid‐state visible‐to‐ultraviolet triplet–triplet annihilation‐based photon upconversion under low‐intensity blue and green light. Their co‐continuous porous architectures balance chromophore interactions with substrate accessibility, providing robust and tunable ...
Sakura Nakagawa +5 more
wiley +2 more sources
Green‐engineered BiNPs&PEI N‐GQDs enable dual‐emission p‐Si Schottky photodetectors with strong photoresponse, long‐term stability, and a simple scalable fabrication strategy, offering a promising route for sustainable optoelectronic and photosensing applications.
Zeynep Berktaş +6 more
wiley +1 more source
Isolated Sn sites on Cu(111) induce a highly asymmetric charge distribution, which promotes water dissociation, accelerates key intermediate hydrogenation, and suppresses competing hydrogen evolution. As a result, SnCu111 delivers NH3 Faradaic efficiencies above 90% over an 800 mV potential window and enables stable direct solar power‐driven NH3 ...
Xiaokang Wang +8 more
wiley +2 more sources
Solar radiation prediction: A multi-model machine learning and deep learning approach
The increasing integration of renewable energies into electrical grids necessitates accurate forecasting of meteorological variables, particularly solar irradiance.
C Vanlalchhuanawmi +3 more
doaj +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
This work reports the design of a multifunctional MnOx support coupled with classic Rh catalytic centers for light‐driven dry reforming of methane. Benefiting from efficient photon‐to‐phonon conversion pathway and a dynamic OL‐OV cycle, the catalyst achieves high syngas production rates and light‐to‐chemical energy efficiency without external heating ...
Chengzhi Guo +11 more
wiley +2 more sources
Neural Network Ensemble Based Approach for 2D-Interval Prediction of Solar Photovoltaic Power
Solar energy generated from PhotoVoltaic (PV) systems is one of the most promising types of renewable energy. However, it is highly variable as it depends on the solar irradiance and other meteorological factors. This variability creates difficulties for
Mashud Rana, Irena Koprinska
doaj +1 more source

