Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
Advanced Science, EarlyView.ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Symmetry Analysis of Amputee Gait Based on Body Center of Mass Trajectory and Discrete Fourier Transform. [PDF]
Sensors (Basel), 2020 Ochoa-Diaz C, Padilha L Bó A.
europepmc +1 more source
The Discrete fractional fourier transform
, 2016 Cataloged from PDF version of article.
openaire +2 more sources
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Two relations for generalized discrete Fourier transform coefficients [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2018 D. Spałek
doaj +1 more source
Harnessing Phase Separation for the Development of High‐Performance Hydrogels
Advanced Science, EarlyView.ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao +3 more
wiley +1 more source
Resolving and Controlling Silicoaluminophosphate Zeolite Intergrowths and Mixtures
Advanced Science, EarlyView.Low‐dose electron microscopy enables atomic‐resolution imaging of beam‐sensitive SAPO‐34/18 intergrowths, revealing their stacking sequences and spatial distributions under controlled Si content and SDA ratio. This work establishes a methodology linking controllable synthesis with atomic‐resolution microscopy to investigate structure–property ...
Yuxin Ke +10 more
wiley +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
Advanced Science, EarlyView.This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
LINEAR DISCRETE CONVOLUTION AND ITS INVERSE. PART 1. CONVOLUTION [PDF]
We present here several ways of calculating the linear discrete convolution, its inverse - the deconvolution, by direct methods, generator functions, Z-transform, using matrices and MATLAB.
Mircea Cirnu
core
Probing Electrocatalyst Design for Product Selectivity in CO2 Reduction
Advanced Science, EarlyView.Selective CO2 electroreduction is controlled by catalyst structure, dynamic surface reconstruction, adsorbate interactions, and reaction microenvironment. This review summarizes Cu‐ and non‐Cu‐based catalysts, single‐atom and molecular systems, degradation pathways, and operando/computational strategies for steering CO2RR toward hydrocarbons ...
Suvodeep Sen +5 more
wiley +1 more source