Results 171 to 180 of about 1,281,189 (302)

Dry‑Contact Trimming for All‑Perovskite Tandem Solar Cells via Solid‑Solution Homogenization

open access: yesAdvanced Energy Materials, EarlyView.
Narrow‐bandgap Sn–Pb perovskites are promising bottom absorbers for all‐perovskite tandems but suffer from Sn‐rich surfaces and depth‐dependent lattice/compositional inhomogeneity. Layered‐perovskite‐assisted dry‐contact trimming removes Sn‐rich surface species and reconfigures the Sn–Pb absorber, enabling efficient charge collection, reduced voltage ...
Woocheol Han   +10 more
wiley   +1 more source

Bio-Inspired Explainable Evolutionary Rule Mining for Thermodynamic Performance Assessment of a Solar Greenhouse Dryer. [PDF]

open access: yesBiomimetics (Basel)
Das M   +7 more
europepmc   +1 more source

Alcohol‐Adduct Mediated Precursor Stabilization Strategies for Conformal SnO2 Layers in Highly Efficient and Stable Perovskite Solar Modules

open access: yesAdvanced Energy Materials, EarlyView.
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo   +10 more
wiley   +1 more source

Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories

open access: yesAdvanced Energy Materials, EarlyView.
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

On the design of solar external receivers

open access: yes, 2015
Solar external receivers with molten salt as heat transfer fluid are the most critical subsystem of a Solar Power Tower (SPT). Receiver tubes work under extreme conditions due to the high incident solar flux and the potentially corrosive environments.
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

Solar heat receiver

open access: yesEnvironment International, 1986
openaire   +1 more source

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