Results 121 to 130 of about 958,747 (333)

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Approximate approximations on nonuniform grids

Le Matematiche, 2007
We present an extension of approximate quasi-interpolation on uniformly distributed nodes, to functions given on a set of nodes close to an uniform, not necessarily cubic, grid.
Flavia Lanzara, Vladimir Maz'ya, Gunther Schmidt   +2 more
doaj  

Geostatistical Approach for Spatial Interpolation of Meteorological Data

Anais da Academia Brasileira de Ciências
Meteorological data are used in many studies, especially in planning, disaster management, water resources management, hydrology, agriculture and environment.
DERYA OZTURK, FATMAGUL KILIC
doaj   +1 more source

Invariant Interpolation Space for Generalized Multivariate Birkhoff Interpolation [PDF]

, 2022
Kai Cui, Xue Jiang
openalex   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Multivariate sparse interpolation using randomized Kronecker substitutions [PDF]

, 2014
Andrew Arnold, Daniel S. Roche
openalex   +3 more sources

A deterministic multivariate interpolation algorithm for small finite fields [PDF]

, 2002
Željko Žilić, Z.G. Vranesic
openalex   +1 more source

Adapting Image‐Based Models for 1D Data via Spider Plot Transformation and Transfer Learning

Advanced Intelligent Systems, EarlyView.
A novel method enables the use of pretrained image‐based neural networks for complex 1D data, including Raman and mid‐infrared spectra, electrocardiograms, and mass spectrometry. 2D spider plots with false‐color fill enable transfer lerning, therefore enhancing data augmentation and model explainability across diverse spectral and time series datasets.
Azadeh Mokari, Oleg Ryabchykov, Thomas Bocklitz   +2 more
wiley   +1 more source

Possibilities of constructing design load diagrams of a helical cable shock damper when the direction of inertia forces changes

RUDN Journal of Engineering Research
Currently, experimental load diagrams in several main directions of load perception are used to describe the stiffness characteristics of cable shock dampers.
Elena M. Reizmunt, Sergey V. Doronin
doaj   +1 more source

Does the abiotic environment influence the distribution of flower and fruit colors?

American Journal of Botany, EarlyView.
Abstract Premise Color in flowers and fruits carries multiple functions, from attracting animal partners (pollinators, dispersers) to mitigating environmental stress (cold, drought, UV‐B). With research historically focusing on biotic interactions as selective agents, however, it remains unclear whether abiotic stressors impact flower and fruit colors ...
Agnes S. Dellinger, Leah Meier, Stacey Smith, Miranda Sinnott‐Armstrong   +3 more
wiley   +1 more source