Results 91 to 100 of about 5,560,517 (293)

Prediction of Solar Concentration Flux Distribution for a Heliostat Based on Lunar Concentration Image and Generative Adversarial Networks

open access: yesApplied Artificial Intelligence
The predictive analysis of solar flux distribution on the receiver surface is critical in optimizing the concentration processes of concentrating solar power (CSP) plants.
Fen Xu   +3 more
doaj   +1 more source

Transparent Perovskite Light‐Emitting Diodes with Conductive Oxide Top Electrodes

open access: yesAdvanced Materials, EarlyView.
Transparent perovskite light‐emitting diodes (TrPeLEDs) enable simultaneous display and transparency, expanding application possibilities. Using a metal oxide buffer layer and pulsed laser deposition, TrPeLEDs with diverse compositions and architectures are demonstrated.
Michele Forzatti   +11 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

New Strategies and Simulation Tools to Optically Design a Field of Heliostats

open access: yesInternational Journal of Photoenergy, 2013
A heliostats field is an array of mirrors concentrating the solar power on a receiver, typically placed on a tower. Our research experience in the optical design of heliostats fields for Concentrating Solar Power plants suggested using apposite ...
Paola Sansoni   +5 more
doaj   +1 more source

Concentrating Solar Power in China and India: A Spatial Analysis of Technical Potential and the Cost of Deployment [PDF]

open access: yes
Coal power generation in China and India is expected to double and triple, respectively, over the next 20 years, increasing exposure to fuel price volatility, exacerbating local air pollution, and hastening global climate change.
Kevin Ummel
core  

Parameters and method to evaluate the solar reflectance properties of reflector materials for concentrating solar power technology - Official SolarPACES reflectance guideline verstion 2.5 [PDF]

open access: yes, 2013
The goal of this document is to serve as guidance on the relevant parameters and measurement possibilities to reliably evaluate the reflectance quality of a solar reflector material.
Meyen, Stephanie, and , others
core  

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

open access: yesAdvanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani   +10 more
wiley   +1 more source

Transmission Benefits of Co-Locating Concentrating Solar Power and Wind [PDF]

open access: yes, 2012
In some areas of the U.S. transmission constraints are a limiting factor in deploying new wind and concentrating solar power (CSP) plants. Texas is an example of one such location, where the best wind and solar resources are in the western part of the ...
Sioshansi, R., Denholm, P.
core   +1 more source

When Poor Exciton Dissociation Limits Photocurrents in Organic Solar Cells: Why Low Offset Non‐Fullerene Acceptor Blends Can't Be Efficient

open access: yesAdvanced Materials, EarlyView.
The energetic offset between the donor and the acceptor components in organic photoactive layers is central to the tradeoff between photovoltage and photocurrent losses. This Perspective covers the most important issues surrounding this topic in non‐fullerene acceptor blends, from the difficulty of accurately determining state energies and driving ...
Dieter Neher, Manasi Pranav
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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