Results 51 to 60 of about 5,532 (307)
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
This study highlights the integration of stable two‐dimensional covalent organic framework (COF) films as photoactive layers in hybrid nanoenergy devices. The results demonstrate their capacity to generate electricity under both sunny and rainy conditions, showcasing versatility and resilience.
Joab D. Guerrero +13 more
wiley +1 more source
Efficient and Asymptotically Optimal Vehicle Motion Planning With Stochastic Template-Based RRT*
Kinodynamic motion planning plays a vital role in robotics, particularly in autonomous driving, where planned trajectories must satisfy kinematic and dynamic constraints while ensuring both safety and efficiency.
Shaoyu Yang, Masamichi Shimosaka
doaj +1 more source
Finite-Length Analyses for Source and Channel Coding on Markov Chains
We derive finite-length bounds for two problems with Markov chains: source coding with side-information where the source and side-information are a joint Markov chain and channel coding for channels with Markovian conditional additive noise.
Masahito Hayashi, Shun Watanabe
doaj +1 more source
This work reports a direct, biocompatible method to synthesize UiO‐66, enabling one‐step encapsulation of proteins without compromising crystallinity or activity. Using advanced in situ and ex situ techniques, the study reveals that proteins integrate concurrently with MOF growth, forming crystalline protein@UiO‐66 nanoparticles, and provide insight ...
Jesús Cases Díaz +5 more
wiley +1 more source
Optimum Block Size in Separate Block Bootstrap to Estimate the Variance of Sample Mean for Lattice Data [PDF]
The statistical analysis of spatial data is usually done under Gaussian assumption for the underlying random field model. When this assumption is not satisfied, block bootstrap methods can be used to analyze spatial data.
M. Mohammadzadeh
doaj
Optimal Results and Numerical Simulations for Flow Shop Scheduling Problems
This paper considers the m-machine flow shop problem with two objectives: makespan with release dates and total quadratic completion time, respectively. For Fm|rj|Cmax, we prove the asymptotic optimality for any dense scheduling when the problem scale is
Tao Ren, Yuandong Diao, Xiaochuan Luo
doaj +1 more source
Asymptotic properties of a goodness-of-fit test based on maximum correlations [PDF]
We study the efficiency properties of the goodness-of-fit test based on the Qn statistic introduced in Fortiana and Grané (2003) using the concepts of Bahadur asymptotic relative efficiency and Bahadur asymptotic optimality.
Tchirina, Anna V. +2 more
core
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
Tailoring Phonon‐Driven Responses in α‐MoO3 through Isotopic Enrichment
ABSTRACT The implementation of polaritonic materials into nanoscale devices requires selective tuning of parameters to realize desired spectral or thermal responses. One robust material, α‐MoO3, an orthorhombic crystal boasting three distinct phonon dispersions, provides three polaritonic dispersions of hyperbolic phonon polaritons (HPhPs) across the ...
Thiago S. Arnaud +31 more
wiley +1 more source

