Results 191 to 200 of about 132,674 (264)

Lithium Thiostannate Spinel Thin Films as Potential Photovoltaic Absorbers

open access: yesNanophotonics, Volume 15, Issue 20, 27 October 2026.
The first successful deposition of nanocrystalline Lithium thiostannate thin film using the pulsed laser deposition technique, with the first reported photoconductivity and photoluminescence, confirms a non‐negligible carrier lifetime and mobility. ABSTRACT Quaternary lithium thiostannate spinels represent a promising class of non‐toxic earth‐abundant ...
Naini Jain   +10 more
wiley   +1 more source

Widely Tunable Dual‐Wavelength Spacing via Temperature Control in A Single Self‐Assembled Nanowire‐Well Chip With Stress Modification

open access: yesNanophotonics, Volume 15, Issue 20, 27 October 2026.
A novel and simple solution for achieving dual‐wavelength emission with widely tunable dual‐wavelength spacing on a single InGaAs self‐assembled nanowire‐quantum well composite structure chip based on thermal modulation is proposed. This research holds significant importance for enhancing the dynamic‐adaptability and compactness of dual‐wavelength ...
Yuhong Wang   +4 more
wiley   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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