Results 151 to 160 of about 2,930,586 (273)

Interpolating sequences on analytic Besov type spaces

, 2009
N. Arcozzi, D. Blasi, Jordi Pau
semanticscholar   +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

Acceleration of slice encoding for metal artifact correction at 0.55 T using hexagonal sampling. [PDF]

Magn Reson Med
Barlas BA, Keskin K, Li B, Hargreaves BA, Nayak KS.   +4 more
europepmc   +1 more source

REPRESENTING AND INTERPOLATING SEQUENCES FOR HARMONIC BERGMAN FUNCTIONS ON THE UPPER HALF-SPACES(Spaces of Analytic and Harmonic Functions and Operator Theory)

, 1996
Boo Rim Choe
openalex   +1 more source

Interpolating sequences for the Nevanlinna and Smirnov classes [PDF]

, 2002
Andreas Hartmann, Xavier Massaneda, Artur Nicolau   +2 more
openalex   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

FZC-TDE: The Algorithm for Real-Time Ultrasonic Stress Measurement at Low Sampling Rates. [PDF]

Micromachines (Basel)
Qiu F, Chen B, Luo C, Chen J, He Z, Zhao J, Gou G.   +6 more
europepmc   +1 more source

Interpolating sequences and Carleson measures in the Hardy–Sobolev spaces of the ball in ${\mathbb {C}}^{n}$

, 2017
Éric Amar
openalex   +2 more sources

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Comprehensive 4D Parallel Transmission Spatial-Spectral Pulse Design for Slab-Selective Uniform Water-Selective Excitation: Demonstration in the Human Brain at 7 Tesla. [PDF]

Magn Reson Med
Shao X, Zhang Z, Zhong W, Guo H, Ugurbil K, Wu X.   +5 more
europepmc   +1 more source