Results 51 to 60 of about 2,621,684 (220)
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
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
Some inequalities on the minimum H-eigenvalue for the Fan product and Hadamard product of tensors
For the Fan product and the Hadamard product of tensors, we derive several inequalities for the minimum H-eigenvalue of Z $\mathcal{Z}$ -tensors. Using these inequalities, we verify whether the Hadamard product of a nonnegative tensor and a Z $\mathcal{Z}
Hang Guo, Zeyu Xu, Chao Huang, Yue Wang
doaj +1 more source
In this paper, we introduce a new generalized differential operator using a new generalized quasi-Hadamard product, and certain new classes of analytic functions using subordination.
En Ao, Shuhai Li
doaj +1 more source
Hadamard products of hypersurfaces
12 ...
Cristiano Bocci, Enrico Carlini
openaire +4 more sources
3D printing enables a high entropy alloy‐derived, in situ formed MnOx overlayer that suppresses oxidation–reconstruction and mitigates anodic dissolution, while enhancing electrolyte wetting and bubble release to accelerate interfacial mass transport and OER kinetics.
Benzhi Wang +8 more
wiley +1 more source
MEROMORPHIC FUNCTIONS AND THE HADAMARD PRODUCT
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
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao +6 more
wiley +1 more source
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley +1 more source
Optical full Hadamard matrix multiplexing and noise effects: errata [PDF]
The model for Poisson random noise under Hadamard multiplexing is revised. The new model accounts for the variation of the Hadamard multiplexed measurements, as well as the previously considered variation due to Poisson fluctuations.
Streeter, Lee +6 more
core +1 more source
Product of four Hadamard matrices
The authors show the following interesting theorem on Hadamard matrices: If there exist Hadamard matrices of order \(4m\), \(4n\), \(4p\) and \(4q\), then there exists an Hadamard matrix of order \(16mnpq\).
Craigen, R. +2 more
openaire +3 more sources

