Results 51 to 60 of about 2,074 (253)

Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks

open access: yesAdvanced Science, EarlyView.
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu   +5 more
wiley   +1 more source

MEROMORPHIC FUNCTIONS AND THE HADAMARD PRODUCT

open access: yesDemonstratio Mathematica, 1992
Let \({\mathcal A}\) stand for a set of functions \(F(z)= z^{-1}+a_ 0+a_ 1 z\dots\) holomorphic in the ring \(\mathbb{P}=\{z ...
Jakubowski, Zbigniew J.   +1 more
openaire   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

open access: yesAdvanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng   +5 more
wiley   +1 more source

Hadamard products and BPS networks

open access: yesJournal of High Energy Physics
We study examples of fourth-order Picard-Fuchs operators that are Hadamard products of two second-order Picard-Fuchs operators. Each second-order Picard-Fuchs operator is associated with a family of elliptic curves, and the Hadamard product computes ...
Mohamed Elmi
doaj   +1 more source

Class of meromorphic univalent functions with positive coefficients associated with a generalized q-Sălăgean operator

open access: yesJournal of Taibah University for Science, 2020
In this paper, using $ q- $ derivative operator, we define the class $ \Sigma _{q,v}^{\ast }(n,\alpha ,\beta ,\lambda ) $ of meromorphic univalent functions and obtain coefficient estimates, distortion, closure theorems, modified Hadamard products, some ...
M. K. Aouf   +2 more
doaj   +1 more source

Narrower eigenbounds for Hadamard products

open access: yes, 1997
The Schur theorem, established in 1911, defines the global bounds for all eigenvalues of Hadamard products of positive semidefinite matrices.
Im, Eric Iksoon, Eric Iksoon Im
core   +1 more source

SpaMode: A Broadly Applicable Framework for Deciphering Spatial Multi‐Omics Using Multimodal Mixture of Disentangled Experts

open access: yesAdvanced Science, EarlyView.
SpaMode introduces a versatile framework for spatial multi‐omics integration across vertical, horizontal, and mosaic scenarios. By disentangling modality‐invariant and variant features through a mixture‐of‐experts mechanism, it adaptively reconfigures spatially heterogeneous signals.
Xubin Zheng   +6 more
wiley   +1 more source

Wavefront Line‐Scan Imaging Via a Single‐Pixel Detector

open access: yesAdvanced Science, EarlyView.
We propose and demonstrate a wavefront line‐scan imaging paradigm that integrates 1D spatial light modulation with single‐pixel detection. Benefiting from 1D modulation, not only is the imaging speed improved, but also the storage of modulation patterns is reduced by several orders of magnitude.
Nuo Liu   +4 more
wiley   +1 more source

Characteristics of Onefold Clocks of GPS, Galileo, BeiDou and GLONASS Systems

open access: yesSensors, 2021
This research is focused on searching for frequency and noise characteristics for available GNSS (Global Navigation Satellite Systems). The authors illustrated frequency stability and noise characteristics for a selected set of data from four different ...
Qingsong Ai   +3 more
doaj   +1 more source

Combining Spatial Multi‐Omics Data to Decipher Spatial Domains and Elucidate Cell Heterogeneity Based on Self‐Supervised Graph Learning

open access: yesAdvanced Science, EarlyView.
A self‐supervised multi‐view graph fusion framework integrates spatial multi‐omics, excelling in domain identification and denoising. It reconstructs spatial pseudo‐expression, jointly analyzes multi‐omics data, infers RNA velocity, predicts spatial omics features from single‐cell multi‐omics, and detects spatially dark genes and transcription factors,
Yuejing Lu   +8 more
wiley   +1 more source

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