Results 141 to 150 of about 10,417 (299)

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

Highly Efficient Polarization-Insensitive Wide-Angle Orthogonal Dipole Metasurface for Ambient Energy Harvesting

open access: yesMicromachines
This work proposes a polarization-insensitive scalable wide-angle metasurface array for highly efficient ambient energy harvesting in the 5.8 GHz Wi-Fi band.
Yiqing Wei   +3 more
doaj   +1 more source

Sputtering Mechanism of an Unsintered Organic–Inorganic Sputtering Target for Perovskite Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
An unsintered MAPbI3 sputtering target fabricated via a mechanochemical route enables large‐area vacuum deposition of perovskite absorber layers, while revealing an ion–photon coupled decomposition mechanism that governs target erosion and film composition under RF plasma exposure.
Doha Lim   +9 more
wiley   +1 more source

Energy- and information-managed wireless sensor networks: modelling and simulation [PDF]

open access: yes, 2008
Wireless Sensor Networks (WSNs) allow the remote and distributed monitoring of parameters in their deployed environment. WSNs are receiving increasing research interest, due to their ability to enable a wide range of applications, and their potential to ...
Merrett, Geoff V, Merrett, Geoff V.
core  

Radio frequency energy harvesting: A review on progress and development, applications, and sustainability benefits

open access: yesMaterials Today Sustainability
Radio Frequency (RF) energy harvesting is a promising approach to convert ambient RF signals into electrical power suitable for low-energy devices.
Muhammed Kallumottakkal   +6 more
doaj   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova   +4 more
wiley   +1 more source

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