Results 61 to 70 of about 708,136 (308)
A serrodyne‐modulated dual electro‐optic comb interferometer is presented that achieves sub‐nanometer precision in absolute distance measurements. The system also supports diverse applications such as depth imaging and vibration sensing. With features of low RF power, wide frequency‐shifting range, and full integration potential, the system offers a ...
Xiaoyang Guo+4 more
wiley +1 more source
This study quantifies the temperature‐dependent optical–acoustic phonon coupling factor (GOA) in supported single‐walled carbon nanotubes, revealing significant suppression at low temperatures. At high temperatures, GOA increases monotonically and is attributed to intensified anharmonic phonon interactions. This research offers key insights into phonon
Ibrahim Al Keyyam+5 more
wiley +1 more source
This study introduces a domain‐engineered PIN‐PMN‐PT ferroelectric crystal that enables efficient broadband second harmonic generation (SHG) without angle or temperature tuning. By engineering a “2T” domain structure, high SHG efficiency is achieved by noncollinear phase matching.
Xin Liu+8 more
wiley +1 more source
A diagnostic method for reconfigurable intelligent surfaces (RIS) based on non‐uniform space‐time‐coding modulation is presented. Fault localization is achieved via amplitude‐only spectral measurements, eliminating the need for complex signal processing. A one‐to‐one mapping between harmonic components and RIS elements enables accurate detection.
Xiao Qing Chen+8 more
wiley +1 more source
Machine Learning for Organic Fluorescent Materials
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong+7 more
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Analytical Solutions of the Driven Time‐Dependent Jaynes–Cummings Model
Following the great strides made in the last decade towards the control and tunability of physical parameters in cavity quantum electrodynamics, this study presents new solutions to the dynamics of the time‐dependent Jaynes–Cummings model with variable external classical fields acting on the two‐level system and the quantized field mode.
Antonio Vidiella‐Barranco+5 more
wiley +1 more source
Modulated thin films, when coupled to external fields, show Fano resonances. There is no simple analytical description of such micro‐optic schemes, therefore they are usually simulated numerically. We fill this gap of the lack of universal analytical description by introducing and exploring a simple mechanical equivalent, the oscillator chain, which ...
Kestutis Staliunas
wiley +1 more source
−symmetric harmonic oscillators [PDF]
9 pages, submitted to Phys.
openaire +3 more sources
In this paper, we determine the wave front sets of solutions to the Schrödinger equations of the Schrödinger evolution operator of a free particle and of a harmonic oscillator by using the representation of the Schrödinger evolution operator of a free ...
Keiichi Kato, Masaharu Kobayashi, S. Ito
semanticscholar +1 more source