Electric Fields and Waves in the Venus Nightside Magnetosphere. [PDF]
Mozer FS +6 more
europepmc +1 more source
We developed a custom‐synthesized ligand, 2‐thiophenepropenammonium iodide, to exchange the native ligands capped on inorganic perovskite nanocrystals (NCs), and identified that the significantly decreased strength of electron‐phonon interaction benefited the charge‐carrier dynamics in their assembled films.
Wei Guo +12 more
wiley +1 more source
Experimental design and performance evaluation of a solar panel-based visible light communication system for greenhouse applications. [PDF]
Morales GC +7 more
europepmc +1 more source
Emerging Device Applications From Strong Light–Matter Interactions in 2D Materials
Two‐dimensional semiconductors enable extremely compact optoelectronic devices such as solar cells, sensors, LEDs, and lasers. Their strong light–matter interactions allow efficient light emission, detection, and energy conversion. This review article discusses the recent progress in integrating these materials with optical cavities and nanostructures ...
Janani Archana K +7 more
wiley +1 more source
Simulation study of a 386.4 MW mountain photovoltaic power plant: a case study. [PDF]
Ma J +5 more
europepmc +1 more source
Performance Enhancement of Solar Photovoltaic Panel Using Automated Solar Panel Cleaner
openaire +1 more source
This review comprehensively summarizes the atomic defects in TMDs for their applications in sustainable energy storage devices, along with the latest progress in ML methodologies for high‐throughput TEM data analysis, offering insights on how ML‐empowered microscopy facilitates bridging structure–property correlation and inspires knowledge for precise ...
Zheng Luo +6 more
wiley +1 more source
Experimental evaluation of Al2O3-water nanofluid for efficiency enhancement in a photovoltaic-thermal system under Western Indian climate. [PDF]
Satpute J +9 more
europepmc +1 more source
High‐Conductivity Electrolytes Screened Using Fragment‐ and Composition‐Aware Deep Learning
We present a new deep learning framework that hierarchically links molecular and functional unit attributions to predict electrolyte conductivity. By integrating molecular composition, ratios, and physicochemical descriptors, it achieves accurate, interpretable predictions and large‐scale virtual screening, offering chemically meaningful insights for ...
Xiangwen Wang +6 more
wiley +1 more source
An integrated neutrosophic Z-numbers based CRITIC-EDAS decision model for smart solar panel evaluation in sustainable energy planning. [PDF]
Abbas MZ +4 more
europepmc +1 more source

