Results 261 to 270 of about 540,625 (369)

Computational Experiment in Teaching Higher Mathematics by the Example of Number Theory [PDF]

Y.D. Kulanin, M.E. Stepanov
openalex   +1 more source

Graph Attention Neural Networks for Interpretable and Generalizable Prediction of Janus III–Vi Van Der Waals Heterostructures

Advanced Intelligent Discovery, EarlyView.
A crystal graph neural network based on the attention mechanism is proposed in this work. The model dynamically weights features through the attention mechanism, enabling precise prediction of properties of material from structural features. Here, taking Janus III–VI van der Waals heterostructures as a representative case, the properties have been ...
Yudong Shi, Zhao Zheng, Yinggan Zhang, Zhou Cui, Peng Lin, Cuilian Wen, Baisheng Sa, Zhimei Sun   +7 more
wiley   +1 more source

Predictive topological modeling of the structure-property relationships in naturally occurring anti-cancer chalcones. [PDF]

Sci Rep
Obaid AAR, Hakeem A, Ullah A, Zaman S, Ahmad H, Ali P, Belay MB.   +6 more
europepmc   +1 more source

Hyperdimensional Spherical Calculus: Advanced Framework for Pure Mathematics Paper II: Extended Theory and Computational Methods Series: SM-2025-II

ALAEI JORDEHI, MOHAMMAD REZA
openalex   +1 more source

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

On computation of information entropy measures for certain fractal molecular architectures. [PDF]

Front Chem
Roy S, Noah Antony Daniel Renai P, Jyothish K.   +2 more
europepmc   +1 more source

An Overview of Computational Mathematical Physics: A Deep Dive on Gauge Theories

, 2019
Andre Simoneau
openalex   +1 more source

A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction

Advanced Intelligent Discovery, EarlyView.
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai, Wenrui Wang, Rui Chen, Tong Yu, Xiaojuan Zheng, Hua Shao, Dashan Shang, Ling Li, Lado Filipovic   +8 more
wiley   +1 more source

Propagation of optical solitons and dispersive solitary wave structure in complex media to the nonlinear integrable system via computational technique. [PDF]

Sci Rep
Iqbal M, Faridi WA, Algethamie R, Aljohani A, El-Meligy M, Mohammad N, Alnowibet KA.   +6 more
europepmc   +1 more source

Research in mathematical theory of computation

, 1973
John McCarthy
openalex   +1 more source