Probabilistic projections of global wind and solar power growth based on historical national experience. [PDF]
Jakhmola A +3 more
europepmc +1 more source
Nonwoven textile architectures are emerging as versatile platforms for next‐generation energy storage, demonstrating how tailored materials and fabrication strategies enhance ion transport, conductivity, flexibility, and scalability for high‐performance sustainable devices.
Tarikul Islam +6 more
wiley +1 more source
Optimized cross-attention GRU-transformer network with sooty tern algorithm for accurate solar power forecasting. [PDF]
Usha N, Manoharan PS.
europepmc +1 more source
Band Alignment and Composition of the Buried TiO2/GaInP Interface
Buried TiO2$\text{TiO}_2$/GaInP interfaces formed by mild plasma‐enhanced ALD are shown to be largely insensitive to the initial GaInP surface condition. Angle‐dependent photoelectron spectroscopy reveals similar interfacial chemistry and band alignment for phosphorus‐rich and naturally oxidized surfaces, demonstrating a robust pathway for reproducible
David Ostheimer +11 more
wiley +1 more source
Optimization of fuzzy logic controller in the converter of a standalone solar power system using the firefly algorithm. [PDF]
Nouri P +3 more
europepmc +1 more source
Advances in Halide Perovskites for Photon Radiation Detectors
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang +3 more
wiley +1 more source
Opportunities for decentralised solar power to improve reliability, reduce emissions and avoid stranded assets. [PDF]
Sandwell P +5 more
europepmc +2 more sources
Microstructure & physicochemical properties dataset of NaCl-based salt mixtures for concentrating solar power. [PDF]
Feng Y, Wu Y, Wang W.
europepmc +1 more source
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Barriers, facilitators and strategies for implementing on-site hospital solar power in low- and middle-income countries: a systematic review, global prioritisation survey and development of an implementation tool. [PDF]
Linder C +13 more
europepmc +1 more source

