Results 151 to 160 of about 48,645 (298)

Hybrid Two‐Step Inkjet Printing and Dip‐Coating Enable Scalable 30%‐Efficient Perovskite/Silicon Tandem Solar Cells

open access: yesAdvanced Energy Materials, EarlyView.
Adopting a scalable hybrid two‐step deposition process route, textured perovskite/silicon tandem solar cells achieve over 30% power‐conversion efficiency. The process route replaces all non‐scalable spin‐coating steps, including organic precursor deposition, self‐assembled monolayer formation, and passivation layer deposition, with scalable techniques ...
Raphael Pesch   +16 more
wiley   +1 more source

Natural Sunlight IR‐Driven Highly Efficient Synthesis of Acetaldehyde From Bioethanol Over Cu/Fe2O3

open access: yesAngewandte Chemie, EarlyView.
This work reports a Cu/Fe2O3 catalyst for the conversion of bioethanol into valuable acetaldehyde and green hydrogen under both infrared (IR) light and natural sunlight. This IR‐driven system sets a new performance benchmark, with TON and initial TOF enhanced by at least one order of magnitude, enabled by a constructed IR photon‐to‐phonon channel and ...
Xiyi Li   +10 more
wiley   +2 more sources

Picosecond switching of magnetic tunnel junctions by spin-orbit torque. [PDF]

open access: yesSci Adv
Xiao C   +11 more
europepmc   +1 more source

Picosecond Spectroscopy

open access: yesThe Review of Laser Engineering, 1983
AOYAGI, Katsunobu   +2 more
openaire   +2 more sources

Overcoming the Nyquist Limit in Molecular Hyperspectral Imaging by Reinforcement Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
Explorative spectral acquisition guide automatically selects informative spectral bands to optimize downstream tasks, outperforming full‐spectrum acquisition. The selected hyperspectral data are used for tasks such as unmixing and segmentation. BandOptiNet encodes selection states and outputs optimal bands to guide spectral acquisition. Recent advances
Xiaobin Tang   +4 more
wiley   +1 more source

Probing Machine Learning Interatomic Potentials on Ion Transport Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
We perform a systematic benchmark of six state‐of‐the‐art universal machine learning interatomic potentials on their ability to predict ion transport properties in lithium‐ and sodium‐based superionic conductors relevant to all‐solid‐state batteries.
Ogheneyoma Aghoghovbia   +2 more
wiley   +1 more source

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