Results 91 to 100 of about 33,483 (192)

Broadening effects due to alloy scattering in Quantum Cascade Lasers

open access: yes, 2007
We report on calculations of broadening effects in QCL due to alloy scattering. The output of numerical calculations of alloy broadened Landau levels compare favorably with calculations performed at the self-consistent Born approximation.
D. Yoshioka   +4 more
core   +1 more source

Electrochemical Modulation of Hole Extraction in NiO/Perovskite Bilayers

open access: yesAdvanced Materials Interfaces, EarlyView.
The influence of hole depletion/accumulation on the hole extraction is evaluated in NiO/perovskite bilayers by transient spectroelectrochemical measurements. Metal‐halide perovskite thin films with different valence band positions are prepared, and the influence of band offset on the hole extraction kinetics is studied.
Xiangtian Chen   +7 more
wiley   +1 more source

High temperature oxidation and corrosion behaviour of titanium aluminide alloy Ti-52.5AI-10.0Ni-0.2Ru (at.%) [PDF]

open access: yes, 2016
A dissertation submitted to the Faculty of Engineering and the Built Environment, University of the Witwatersrand, in fulfilment of the requirements for the degree of Master of Science in Engineering 15 October 2016The alloys Ti-52.5Al-10.0Ni (at.%) and
Mantyi, Hadio Caprice
core  

Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications

open access: yesAdvanced Materials Technologies, EarlyView.
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung   +5 more
wiley   +1 more source

Optimizing Metamaterial Inverse Design with 3D Conditional Diffusion Model and Data Augmentation

open access: yesAdvanced Materials Technologies, EarlyView.
A generative AI model, the 3D conditional diffusion model (3D‐CDM), is introduced to enhance the inverse design of voxel‐based metamaterials. A data augmentation technique based on topological perturbation expands the dataset, further improving generation quality and accuracy.
Xiaoyang Zheng   +2 more
wiley   +1 more source

How to Manufacture Photonic Metamaterials

open access: yesAdvanced Materials Technologies, EarlyView.
Metamaterials boast applications such as invisibility and “hyperlenses” with resolution beyond the diffraction limit, but these applications haven’t been exploited in earnest and the market for them hasn’t grown much likely because facile and economical methods for fabricating them without defect has not emerged.
Apurba Paul, Gregory Timp
wiley   +1 more source

Fabrication Optimization of van der Waals Metasurfaces: Inverse Patterning Boosts Resonance Quality Factor

open access: yesAdvanced Optical Materials, EarlyView.
An optimized fabrication approach for the nanostructuring of optical metasurfaces from van der Waals materials like hexagonal boron nitride is presented. The resonator geometries show enhanced geometric homogeneity, resulting in a significant increase in quality factors of symmetry‐protected bound states in the continuum resonances.
Jonas Biechteler   +7 more
wiley   +1 more source

Exploring the Role of Artificial Intelligence in Precision Photonics: A Case Study on Deep Neural Network‐Based fs Laser Pulsed Parameter Estimation for MoOx Formation

open access: yesAdvanced Photonics Research, Volume 6, Issue 6, June 2025.
Ultrafast pulsed laser technology enables precise material processing. This study examines molybdenum oxide formation under varying laser parameters. A dataset of 187 samples is generated, and eight deep neural networks (DNNs) with different architectures are trained. Models are validated using three learning rates and evaluated with mean squared error,
Jose R. Paredes‐Miguel   +6 more
wiley   +1 more source

Recent Advances in Variable‐Stiffness Robotic Systems Enabled by Phase‐Change Materials

open access: yesAdvanced Robotics Research, EarlyView.
Phase‐change materials (PCMs), such as shape memory alloys, hydrogels, shape memory polymers, liquid crystal elastomers, and low‐melting‐point alloys, are driving advancements in stiffness‐tunable robotic systems across a wide range of applications. This review highlights recent progress in PCM‐enabled robotics, focusing on their underlying mechanisms,
Sukrit Gaira   +5 more
wiley   +1 more source

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