Results 241 to 250 of about 1,088,192 (320)

High-Density Plasma-Induced Etch Damage of GaN

open access: green, 1999
R. J. Shul   +8 more
openalex   +2 more sources

Q‐GEM: Quantum Chemistry Knowledge Fusion Geometry‐Enhanced Molecular Representation for Property Prediction

open access: yesAdvanced Science, EarlyView.
This work introduces E‐GeoGNN, a graph neural network framework that systematically encodes molecular structural information through three hierarchical correlation graphs: atom‐bond graph, bond‐angle graph, and angle‐dihedral graph. By incorporating quantum and geometric dual‐scale self‐supervised pretraining, Q‐GEM is proposed, a novel molecular ...
Zhijiang Yang   +7 more
wiley   +1 more source

Optimized Synthesis and Characterization of Janus RhSeCl with Uniform Anionic Valences, Nonlinear Optical and Optoelectronic Properties

open access: yesAdvanced Science, EarlyView.
Janus RhSeCl exhibits a facial heteroatom configuration and uniform anionic valences with Se and Cl in the −1 oxidation state, stabilizing the unique structure. The symmetry‐breaking nature enables promising nonlinear optical and optoelectronic performance, providing new insights into two–dimensional (2D) Janus materials and broadening their potential ...
Kefeng Liu   +19 more
wiley   +1 more source

Mitigating Cell Cycle Effects in Multi‐Omics Data: Solutions and Analytical Frameworks

open access: yesAdvanced Science, EarlyView.
The study highlights the cell‐cycle effects on multi‐omics analysis attributed to varying cell cycle compositions across cell types. To minimize the influence, we propose RTD correction in CNV calling with a high S‐phase ratio, and phase comparison in chromatin accessibility, DNA methylation, and transcriptomics.
Rui Nie   +7 more
wiley   +1 more source

Quantum Kernel Learning for Small Dataset Modeling in Semiconductor Fabrication: Application to Ohmic Contact

open access: yesAdvanced Science, EarlyView.
A quantum kernel‐aligned regressor (QKAR) is developed for modeling Ohmic contact formation in GaN HEMT fabrication. Leveraging experimental data and a Pauli‐Z feature map enhanced with a quantum kernel alignment (QKA) layer, the model achieves superior predictive performance over classical methods.
Zeheng Wang   +7 more
wiley   +1 more source

MGPT: A Multi‐task Graph Prompt Learning Framework for Drug Discovery

open access: yesAdvanced Science, EarlyView.
MGPT is a unified multi‐task graph prompt learning model providing generalizable and robust graph representations for few‐shot drug association prediction. MGPT demonstrates the ability of seamless task switching and outperforms competitive approaches in few‐shot scenarios.
Yang Li   +4 more
wiley   +1 more source

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