Results 51 to 60 of about 1,239,591 (239)
A Numerical Study of Optimization Methods for Phase-Only Optical Pulse-Shaping
The field of optical pulse-shaping and its applications is introduced, with a focus on time-domain approaches. A numerical investigation of all-fiber, time-domain, phase-only filtering is conducted for arbitrary temporal pulse synthesis.
Abdullah S. Karar +6 more
doaj +1 more source
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Blind tracking based on Monte Carlo algorithm over MIMO fast time-varying channels
The Monte Carlo algorithm was applied for time-varying channel tracking in communication system and in multi-antenna channels with space time block coding(STBC).The algorithm was compared with Kalman filtering method under the same condition,the tracking
JIANG Ming-yan, YUAN Dong-feng
doaj +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Moving-Window-Based Adaptive Fitting H-Infinity Filter for the Nonlinear System Disturbance
The uncertain disturbance in the system signals can lead to biased state estimates and, in turn, can lead to deterioration in the performance of state estimation for a nonlinear dynamic system.
Juan Xia +5 more
doaj +1 more source
Single‐particle spectroscopy and variational quantum Monte Carlo simulations reveal that strong many‐body correlations fundamentally alter biexciton radiative recombination in weakly confined CsPbBr3 quantum dots. Intra‐ and inter‐exciton correlations reverse the conventional lifetime hierarchy, yielding biexcitons with longer radiative lifetimes than ...
Chenglian Zhu +11 more
wiley +1 more source
Iterative Selection of DNA Nanostructures for Cellular Uptake
DNA nanostructures are promising cell targeting delivery vehicles for therapeutics, but the targeting behavior is not fully understood. In this study, libraries of DNA nanostructures that can be amplified and sequenced are combined with cellular uptake as a selection pressure to iteratively refine DNA structures taken up in cells to better understand ...
Anjali Rajwar +4 more
wiley +1 more source
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa +4 more
wiley +1 more source
APPROXIMATE FILTER FOR JUMP-DIFFUSION MODELS
A new approach to the optimal filtering problem for jump-diffusion models is considered in this paper. This approach is based on the statistical modeling method (Monte Carlo method).
K. A. Rybakov
doaj

