Results 181 to 190 of about 1,429,782 (326)
Imaging with Undetected Photons in the Terahertz Frequency Range
Generation and Detection of terahertz radiation still remain a technological challenge, especially when compared to the visible or near infrared spectral range.
Molter, Daniel +3 more
core +1 more source
Atomic Scale Control of Thermal Conductivity in LaMnO3/SrMnO3 Superlattices
Interface‐dominated cross‐plane thermal transport in [(LaMnO3)m/(SrMnO3)n]10 superlattices can be controlled by the octahedral rotation/tilt angle φOOR of the MnO6 octahedra, which as well is controlled by the “m/n” ratio. ABSTRACT We report atomic scale structure and phonon thermal transport in (LaMnO3)m/(SrMnO3)n/SrTiO3(100) superlattices (LMO/SMO ...
H. Ulrichs +12 more
wiley +1 more source
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
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley +1 more source
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
THz‐EPR spectroscopy provides direct access to the low‐lying electronic structure and spin–phonon coupling in iron(II) spin crossover (SCO) complexes. Quantification of the high‐spin fraction (γHS$\gamma _{\text{HS}}$) and subtle shifts in magnetic transitions reveal the influence of the surrounding lattice and enable discrimination between microscopic
Jooris Beyer +8 more
wiley +1 more source

