Results 251 to 260 of about 286,632 (317)
Large eddy simulation of flow past a 3D cylinder at Re=3900 [PDF]
Han Liu
openalex +1 more source
A new stopped‐flow instrument allows kinetic measurements of reactions 10 milliseconds after initiating them by mixing in a flow cell inserted into a standard NMR probe and spectrometer. High‐speed video, pressure and NMR line‐shape data are used to characterise mixing and stopping, and a protodeboronation reaction with a 5‐millisecond half‐life used ...
Andrew M. R. Hall +6 more
wiley +1 more source
Large-eddy simulation of particle-driven gravity currents using the Relaxation-Term model [PDF]
Rolf Henniger, Leonhard Kleiser
openalex +1 more source
ABSTRACT Purpose To propose a noninvasive and quantitative MRI approach to simultaneously assessing intracranial artery pulsation and paravascular cerebrospinal fluid (CSF) pulsation in the human brain. Methods We developed a 3D whole‐brain Diffusion‐prepared Cine bSSFP (DECAF) MRI technique, with improved motion‐sensitized driven‐equilibrium providing
Chang Ni +8 more
wiley +1 more source
Dynamic slip wall model for large-eddy simulation. [PDF]
Bae HJ +3 more
europepmc +1 more source
Large-eddy simulations of an autorotating square flat plate
Patricia X. Coronado Domenge +2 more
openalex +2 more sources
MR Spectroscopy Without Water Suppression Using the Gradient Impulse Response Function
ABSTRACT Purpose Non‐water‐suppressed proton spectroscopy, 1H‐MRS, is desirable, as retaining the strong water resonance can facilitate automated online data corrections, internal concentration referencing, and monitoring of line narrowing effects in functional MRS.
James B. Bacon +2 more
wiley +1 more source
Error scaling of large-eddy simulation in the outer region of wall-bounded turbulence. [PDF]
Lozano-Durán A, Bae HJ.
europepmc +1 more source
GABA+‐Edited Magnetic Resonance Spectroscopy Deep Learning Quality Assessment Framework
ABSTRACT Purpose Motivated by the need to improve GABA+‐edited magnetic resonance spectroscopy (MRS) quality, we developed a three‐module framework to improve transient averaging based on quality. We hypothesized that training a deep learning (DL) model to differentiate spectrum quality could improve transient averaging compared to traditional ...
Hanna Bugler +2 more
wiley +1 more source
ABSTRACT Purpose To propose a new method using a physics‐guided neural network for quantitative parameter mapping in balanced steady‐state free precession (bSSFP) imaging. Theory and Methods We trained physics‐guided neural networks with a multilayer perceptron using simulated bSSFP signals generated from tissue parameters (T1$$ {T}_1 $$, T2$$ {T}_2 $$,
Hye‐Ryeong Choi +2 more
wiley +1 more source

