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1 an affect light transport in ways resembling fluid dynamics.
2 surface tension, gravity, and incompressible fluid dynamics.
3 s a particularly important route to chaos in fluid dynamics.
4 ments of interest (n=142) with computational fluid dynamics.
5 rgent properties determined by the resulting fluid dynamics.
6 n incorrect application of the principles of fluid dynamics.
7 time points through the use of computational fluid dynamics.
8 ing simulation models based on computational fluid dynamics.
9 es for pulmonary diseases involving abnormal fluid dynamics.
10 ta assimilation, for example, in geophysical fluid dynamics.
11 ns can be well described using computational fluid dynamics.
12  of the beam power distribution to the local fluid dynamics.
13 ated by noradrenaline drive the intracranial fluid dynamics.
14 emodynamics were quantified by computational fluid dynamics.
15 omedical evaluations of vascular and airways fluid dynamics.
16 end practical applications-in this instance, fluid dynamics.
17 eter that integrates population dynamics and fluid dynamics.
18 nfarction, suggesting dysregulation of brain fluid dynamics.
19 ) have been investigated using computational fluid dynamics.
20 rrent solutions of the governing equation of fluid dynamics.
21 rimarily on contributions from mechanics and fluid dynamics.
22 ctive intervention to modulate cerebrospinal fluid dynamics.
23 ty waves; as predicted by recent advances in fluid dynamics.
24 U-accelerated patient-specific computational fluid dynamics.
25 ore structures, thereby impacting pore-scale fluid dynamics.
26 s to generate accurate predictions of tumour fluid dynamics.
27 to the more complex and unexplored domain of fluid dynamics.
28 thin-layer limit, or "lubrication limit", of fluid dynamics.
29  essential yet long-neglected by traditional fluid dynamics.
30 ferent climatic conditions via computational fluid dynamics.
31 annel, which were confirmed by computational fluid dynamics.
32 ned using microtomography with computational fluid dynamics.
33 tion, graft apposition, and tissue interface fluid dynamics.
34 ally be used to monitor how the interstitial fluid dynamics affect cancer microenvironment and plasti
35                       We use a computational fluid dynamics algorithm capable of simulating 10-nanome
36 a local workstation by using a computational fluid dynamics algorithm.
37  science, biomedical engineering, multiphase fluid dynamics, among other fields.
38                            The computational fluid dynamics analyses revealed larger flow fields gene
39               Here, by applying experimental fluid dynamics analysis and mathematical modeling, we pr
40 ere we report on a family-wide computational fluid dynamics analysis of all eight hammerhead shark sp
41                        We used computational fluid dynamics analysis to assess hemodynamic parameters
42 henome-wide association study, computational fluid dynamics analysis, single-cell RNA sequencing, art
43 ssure calculations, using both computational fluid dynamics and a newly developed method from empiric
44                                   We combine fluid dynamics and advanced in situ transmission electro
45 ultiscale mathematical model that integrates fluid dynamics and an intracellular insulin signaling pa
46 try) and mathematically (using computational fluid dynamics and analytical mathematical models).
47 odel relied on the coupling of computational fluid dynamics and biochemical kinetics, and was validat
48                                Computational fluid dynamics and density functional theory simulations
49 tigate a range of hypotheses for the systems fluid dynamics and establish a theoretical model to pred
50                                              Fluid dynamics and evolutionary biology independently pr
51 cs characterization, including computational fluid dynamics and four-dimensional flow MRI.
52 haracteristics in humans using computational fluid dynamics and frequency-domain optical coherence to
53 ive approach, a combination of computational fluid dynamics and high-resolution micro-CT imaging, rev
54             Recent advances in computational fluid dynamics and image-based modeling now permit deter
55 y and verified with the aid of computational fluid dynamics and kinetic simulations.
56                      A coupled computational fluid dynamics and mass transfer model was applied to pr
57    The analysis describes the characteristic fluid dynamics and mass transport effects occurring in a
58  model that provides a deep understanding of fluid dynamics and mass transport in the EOPPP method, a
59  involuntary functions such as cerebrospinal fluid dynamics and may have implications for cerebrospin
60 phological patterns- a fusion of macroscopic fluid dynamics and microbiology.
61                        Here, a fully-coupled fluid dynamics and microstructure modelling is developed
62                      At the apex, microscale fluid dynamics and nanoscale channel dynamics must also
63 ing fundamental open problem in mathematical fluid dynamics and nonlinear partial differential equati
64 ume through LCN pruning may lead to impaired fluid dynamics and osteocyte exposure to mechanostimulat
65 g study using a novel combined computational fluid dynamics and physiologically based PK model was ap
66                                              Fluid dynamics and solids mechanics should be considered
67 odelling the coupling between heat transfer, fluid dynamics and surface reaction kinetics.
68 tic field, and study the micro-environmental fluid dynamics and their effect on tumor growth by accou
69 ll organs, responsible for maintaining organ fluid dynamics and tissue homeostasis.
70 terize their efficacy, such as computational fluid dynamics and urban canopy models, are computationa
71      Here we present data from computational fluid dynamics and video endoscopy in suspension-feeding
72 s using analytic approaches of computational fluid dynamics and/or continuum chemical dynamics.
73 ation of vapour in liquids, is ubiquitous in fluid dynamics, and is often implicated in a myriad of i
74 its complex physics involving heat transfer, fluid dynamics, and phase changes.
75 ations, as arise in structural optimization, fluid dynamics, and quantum control.
76       We draw on the fields of biomechanics, fluid dynamics, and robotics to demonstrate that there i
77 s consequences for blood flow, cerebrospinal fluid dynamics, and waste clearance.
78                              A computational fluid dynamics approach was taken, solving the Navier-St
79          The three-dimensional intracochlear fluid dynamics are coupled to a micromechanical model of
80 follow-up and further research on subretinal fluid dynamics are needed to optimize treatment strategi
81                                        Early fluid dynamics as measured by (1) early RFI volatility a
82                                Computational fluid dynamics based on finite element analysis was used
83 now a widely used approach for computational fluid dynamics, building greater understanding of its nu
84  the dual-pulse to control the plasma-driven fluid dynamics by adjusting the axial offset of the two
85 sing first-principle chemistry, physics, and fluid dynamics, calibrated from depuration experiments.
86                             Intraventricular fluid dynamics can be assessed clinically using imaging.
87 r feeding is inconsistent with computational fluid dynamics (CFD) and analytical estimates.
88                                Computational fluid dynamics (CFD) can be used for non-invasive evalua
89                                Computational fluid dynamics (CFD) can be used to simulate vascular ha
90 ensional modelling approach of Computational Fluid Dynamics (CFD) coupled with the Discrete Element M
91 dimensional (4D) flow MRI with computational fluid dynamics (CFD) for noninvasive PSPG assessment in
92                    Image-based computational fluid dynamics (CFD) has become a new capability for det
93                                Computational Fluid Dynamics (CFD) has emerged as a key tool in unders
94 ing alternative to traditional computational fluid dynamics (CFD) methods.
95            A three-dimensional computational fluid dynamics (CFD) model analyzes the optimized ROKSM
96                   We present a computational fluid dynamics (CFD) model for the swimming of micro org
97                    To do so, a computational fluid dynamics (CFD) model framework was established to
98                Here, we used a computational fluid dynamics (CFD) model of rat nasal cavity to simula
99                              A computational fluid dynamics (CFD) model was used to investigate this
100  two-dimensional moving domain computational fluid dynamics (CFD) model, providing new insights into
101 I was used in conjunction with computational fluid dynamics (CFD) modeling to investigate the hemodyn
102 al tumor capillary models, and Computational Fluid Dynamics (CFD) modeling.
103 lored egg-drift dynamics using computational fluid dynamics (CFD) models to infer potential egg settl
104                                Computational fluid dynamics (CFD) simulation derived from the fusion
105                                Computational fluid dynamics (CFD) simulation has emerged as a powerfu
106 lly expensive when integrating Computational Fluid Dynamics (CFD) simulation tools.
107        Furthermore, leveraging computational fluid dynamics (CFD) simulation, the method to predict t
108 Imaging-based subject-specific computational fluid dynamics (CFD) simulations allow non-invasive asse
109                                Computational fluid dynamics (CFD) simulations employ assumptions abou
110                                Computational Fluid Dynamics (CFD) simulations offer a means to detect
111                   We performed computational fluid dynamics (CFD) simulations to calculate the wall s
112                   We performed computational fluid dynamics (CFD) simulations to determine the variat
113 Here, we conducted image-based computational fluid dynamics (CFD) simulations to quantify the fluid m
114                                Computational Fluid Dynamics (CFD) simulations were conducted to optim
115                                 Computaional fluid dynamics (CFD) simulations were performed to asses
116                                Computational Fluid Dynamics (CFD) simulations were performed using th
117 re confirmed by fully resolved computational fluid dynamics (CFD) simulations.
118 ce (CMR) with patient-specific computational fluid dynamics (CFD) simulations.
119  changes between SS and OSS by computational fluid dynamics (CFD) simulations.
120                       Previous computational fluid dynamics (CFD) studies have explored how anatomy i
121 ularly significant, since most Computational Fluid Dynamics (CFD) studies to date have used monodispe
122 ned experimental protocols and computational fluid dynamics (CFD) studies.
123 bility, and ability to perform computational fluid dynamics (CFD) studies.
124               In this paper, a computational fluid dynamics (CFD) study was conducted in a nondetermi
125                This paper uses Computational Fluid Dynamics (CFD) to conduct a parametric study to en
126  and electromyography and used computational fluid dynamics (CFD) to estimate the aerodynamic forces
127 ow MRI imaging techniques with Computational Fluid Dynamics (CFD) to produce patient-specific simulat
128 ch pairing experimentation and computational fluid dynamics (CFD) was selected to provide comprehensi
129    Simulated flow models using computational fluid dynamics (CFD) were used to validate and expand th
130 osmosis has been studied using Computational Fluid Dynamics (CFD) with the introduction of spiral wou
131  simulation using personalised computational fluid dynamics (CFD) with three-element Windkessel model
132 es a novel method by combining computational fluid dynamics (CFD), fluid-structure interaction (FSI),
133 nd WSS were quantified with 3D computational fluid dynamics (CFD).
134 er transurethral surgery using computational fluid dynamics (CFD).
135 ne models using micro-CT based computational fluid dynamics (CFD).
136 sics-based, velocity fields is computational fluid dynamics (CFD).
137 10(-10) N, respectively, using computational fluid dynamics (CFD).
138 M) and hemodynamic effects via computational fluid dynamics (CFD).
139 n the cloudy atmosphere, and a computational fluid dynamics code for the Richtmyer-Meshkov instabilit
140                                              Fluid dynamics computations for tube-like geometries are
141  techniques for characterizing non-Newtonian fluid dynamics creates a challenge for classical machine
142        To correlate intraoperative interface fluid dynamics during Descemet stripping automated endot
143 y capture technique-dependent differences in fluid dynamics during DSAEK.
144              Our findings reveal the complex fluid dynamics during everyday commutes and nonintuitive
145  suggest that neither polysaccharide altered fluid dynamics during infection since GXM behaved in sol
146 impure grain orientations because of complex fluid dynamics during solution coating.
147 ng applications beyond locomotion to include fluid dynamics, electronics, and environmental monitorin
148 ctoral-pelvic lateral fins that our computed fluid-dynamics experiments show passively generated lift
149  sources affect dry matter intake, rumen pH, fluid dynamics, fermentation parameters, and epithelial
150  improve approximations inside computational fluid dynamics for modeling two-dimensional turbulent fl
151  that the zebrafish LRO is more sensitive to fluid dynamics for symmetry breaking.
152 velocimetry (PIV) to quantify kinematics and fluid dynamics for three species of swimming polychaetes
153 iffusion equation in a quantum computational fluid dynamics framework.
154                       Living systems rely on fluid dynamics from embryonic development to adulthood.
155                                    Perfusate fluid dynamics, gases, electrolytes, and metabolites wer
156                                  The laws of fluid dynamics govern vortex ring formation and precede
157                                Computational fluid dynamics has demonstrated that abnormal KD coronar
158 capillary expansions, but the details of the fluid dynamics have not been elucidated.
159       Mathematical models including detailed fluid dynamics have previously been used to understand b
160            It was found that complex coupled fluid dynamics, heat transfer, and electrostatic phenome
161  are transforming our understanding of brain fluid dynamics, highlighting cerebrospinal fluid (CSF) f
162 ter technique, showing through computational fluid dynamics how the mixing efficiency strongly depend
163          We report the direct observation of fluid dynamics in a single zinc oxide nanotube with the
164        Deep breathing enhances cerebrospinal fluid dynamics in both groups, increasing displacement a
165     These observations hint at the polariton fluid dynamics in conditions of extreme intensities and
166 o our knowledge, this is the first time that fluid dynamics in diagnostic membranes have been analyze
167 undamental limitations imposed by Poiseuille fluid dynamics in flow cells, which we overcome using Co
168 aerosol viscosity and identify non-Newtonian fluid dynamics in model sea spray aerosol composed of Na
169 tment of CKD (ZENITH-CKD) trial, we assessed fluid dynamics in patients with CKD treated with the ERA
170  biochemical systems, such as structures and fluid dynamics in porous materials, macromolecular chang
171 ew approach to apply the novel computational fluid dynamics in the boundary with subgrid.
172 inked to X. fastidiosa biofilm formation and fluid dynamics in the functional foregut of sharpshooter
173 rminology that is relevant for investigating fluid dynamics in the functional foregut of sharpshooter
174  deprivation modulates cognitive, neural and fluid dynamics in the human brain.
175                                          The fluid dynamics in this regime are very different from th
176 grams challenge our current understanding of fluid dynamics in urination, jetting fluids like their l
177 erimental access to questions of microscopic fluid dynamics in vivo.
178 scuss concepts related to the development of fluid dynamics including flow, perivascular transport, d
179 ery low Reynolds number, the regime in which fluid dynamics is governed by Stokes equations, a helix
180                                Computational fluid dynamics is used to determine the flow pattern wit
181 heric sulfate aerosols) from the Geophysical Fluid Dynamics Laboratory and Hadley Centre climate mode
182                        Using the Geophysical Fluid Dynamics Laboratory comprehensive Earth System Mod
183 imate (A2 and B1 IPCC emissions; Geophysical Fluid Dynamics Laboratory General Circulation Models) on
184 e an earth system model from the Geophysical Fluid Dynamics Laboratory to investigate regional impact
185                          Using computational fluid dynamics (Lattice Boltzmann Method) this work show
186 , photographic footage, and reference to the fluid dynamics literature.
187 ns on filling and to assess whether impaired fluid dynamics may be a source of diastolic dysfunction.
188 onerous task requiring specialized skills in fluid dynamics, mechanical design drafting, and manufact
189  solid mechanics, such as polymer chemistry, fluid dynamics, meteorology, and robotics.
190 ationship between CCTA-derived computational fluid dynamics metrics, anatomic and morphologic charact
191 etwork tightly-coupled to a 3D computational fluid dynamics model accounting for non-Newtonian blood
192  computed tomography to create computational fluid dynamics model cones.
193 elity, fully-coupled radiation transport and fluid dynamics model has been developed to quantify disi
194 present study, a novel coupled computational fluid dynamics model is developed incorporating fluid an
195                            The computational fluid dynamics model is used to determine the shape of a
196                 We developed a computational fluid dynamics model of the ePBR, which predicted that i
197 dam environments, we combine a computational fluid dynamics model of the flow field at a dam and a be
198 perimental results are compared to a complex fluid dynamics model showing an agreement between the tw
199 ce an experimentally-validated physiological fluid dynamics model simulating inhaled onset of smallpo
200 Here we simulate stratocumulus clouds with a fluid dynamics model that includes detailed treatments o
201                       We use a computational fluid dynamics model to show that this frequency-invaria
202  two-dimensional heterogeneous computational fluid dynamics model was developed and validated to stud
203  intravascular ultrasound) and computational fluid dynamics modeling for WSS calculation.
204                                              Fluid dynamics modeling of an Ediacaran ecosystem illust
205                                Computational fluid dynamics modeling was performed in 60 (30 extracar
206    Using immunohistochemistry, computational fluid dynamics modeling, and patch clamp recording, we d
207 ance data and patient-specific computational fluid dynamics modeling.
208 crocapillary flow, verified by computational fluid dynamics modelling.
209 ctivation patterns by using 3D computational fluid dynamics models coupled to the motion of fish with
210 V reactors as well as validate computational fluid dynamics models that are widely used to simulate U
211  no-slip boundary typically used in standard fluid dynamics models.
212 r leak, extracorporeal membrane oxygenation, fluid dynamics of bronchopleural fistula airflow, and in
213  reconstruction techniques and computational fluid dynamics of coronary CT angiography (CCTA) data se
214  With increasing short-range attraction, the fluid dynamics of the cluster phase is arrested, leading
215 riments help to explain how dogs exploit the fluid dynamics of the generated column.
216 mage velocimetry validated the corresponding fluid dynamics of the numerical model.
217 ommunication via metabolic intermediates and fluid dynamics of the reaction chamber, is responsible f
218 maging, we probe directly the interconnected fluid dynamics of the vapour jet formed by the laser and
219  impact of plasma dynamics and plasma-driven fluid dynamics on the flame growth of laser ignited mixt
220  The multi-scale model incorporates cochlear fluid dynamics, organ of Corti (OoC) mechanics and outer
221 del of the cochlea that incorporates viscous fluid dynamics, organ of Corti microstructural mechanics
222 lytic framework established in computational fluid dynamics, our method is physiologically relevant,
223 ose To identify volumetric and computational fluid dynamics parameters to predict AAAs that are likel
224                                Cerebrospinal fluid dynamics play a crucial role in maintaining brain
225                                Computational fluid dynamics predicts that the corresponding drop in s
226                                   Neglecting fluid dynamics produces incorrect minimum-energy droplet
227 ient-specific assessment using computational fluid dynamics provides an estimate of local hemodynamic
228 ed from theories of biochemical oscillation, fluid dynamics, reaction-diffusion-based pattern instabi
229     Our results are important for studies in fluid dynamics, remote sensing, and polarimetry.
230 ined using a large database of computational fluid dynamics results on patient specific airways.
231 icromotors, and along with the corresponding fluid dynamics, results in a highly efficient mobile CO2
232                                Computational fluid dynamics serves a unique role in studying the hemo
233                                Computational fluid dynamics simulated nasal airflow at steady inspira
234                              A computational fluid dynamics simulation (CFD) was performed using our
235  the DropArray plate were quantified through fluid dynamics simulation and complete retention of susp
236 offee matrices at particle-level and perform fluid dynamics simulation based on the smoothed particle
237 ows, validating the multiphase computational fluid dynamics simulation.
238 imensional image analysis, and computational fluid dynamics simulation.
239 lution advanced numerical CFD (computational fluid dynamics) simulation and rock-record examples, tha
240  model to fit the initial CFD (Computational Fluid Dynamics) simulation data.
241 ned either from experiments or computational fluid dynamics simulations (high-fidelity models) throug
242 tion in the channel flow using computational fluid dynamics simulations and a previously developed mo
243 mensional models for automated computational fluid dynamics simulations and computed luminal shear st
244                                  Integrating fluid dynamics simulations and experimental manipulation
245 ng procedure is proposed using computational fluid dynamics simulations and shape optimization to ass
246                                Computational fluid dynamics simulations confirmed that adaptations in
247                                Computational fluid dynamics simulations incorporating species diffusi
248                                Computational fluid dynamics simulations of fibrous filters with 56 co
249                        We used computational fluid dynamics simulations of low-altitude and near-wall
250 s and has been developed using computational fluid dynamics simulations of respiratory airflow and dr
251 ticle tracking velocimetry and computational fluid dynamics simulations to estimate the contractile f
252                                Computational fluid dynamics simulations validate the efficacy of the
253                                Computational fluid dynamics simulations were conducted in ANSYS Fluen
254                                Computational fluid dynamics simulations were performed for various HX
255                                Computational fluid dynamics simulations were performed to assess shea
256               Patient-specific computational fluid dynamics simulations were performed to relate the
257                                Computational fluid dynamics simulations were used to investigate pati
258 l patterns can be predicted by computational fluid dynamics simulations with high experimental correl
259 mined in detail by correlating computational fluid dynamics simulations, analytic calculations, exper
260 Markov chain, verified against computational fluid dynamics simulations, indicate that the independen
261 h wind tunnel measurements and computational fluid dynamics simulations, we demonstrate aerodynamical
262                  Combined with computational fluid dynamics simulations, we demonstrate that the LAPO
263  spectroscopy velocimetry and finite element fluid dynamics simulations.
264 phenomena in multi-dimensional computational fluid dynamics simulations.
265 ts showing good agreement with computational fluid dynamics simulations.
266 droplets may exhibit patterns resembling the fluid dynamics smaller airborne aerosols that follow the
267                                Computational fluid dynamics software may be used to predict the influ
268                   A commercial computational fluid dynamics solver was used to simulate peak systolic
269 uid driven by surface tension is a classical fluid dynamics stability problem that is important in ma
270 r, we coupled experimental and computational fluid dynamics techniques to: (i) accommodate glass eel
271                         By investigating the fluid dynamics that controls the transport of the MVP in
272  work now supports an evolving model of body fluid dynamics that integrates exchangeable Na(+) stores
273                In the field of computational fluid dynamics, the accuracy of turbulence models is cru
274          Respiration modulated cerebrospinal fluid dynamics through both mechanical enhancement of ve
275                                           As fluid dynamics throughout the placenta are driven by a v
276   Here we apply a fundamental technique from fluid dynamics to an ecosystem model to show how fronts
277          In parallel, we used simulations of fluid dynamics to analyze our experimental data.
278 ed favorably to an analytical model based on fluid dynamics to describe the energy deposition.
279 hree-dimensional modelling and computational fluid dynamics to establish the feeding mode of the enig
280 consider the vascular/interstitial/lymphatic fluid dynamics to show that tumors with larger lymphatic
281 ntum systems, which is suitable for encoding fluid dynamics transport phenomena within a lattice kine
282                                Understanding fluid dynamics under extreme confinement, where device a
283                      Incorporating the Corti fluid dynamics was critical to account for the ODJ motio
284    Finite element analysis and computational fluid dynamics was performed.
285                                Computational fluid dynamics was used to model flow past multiple adhe
286                                Computational fluid dynamics was used to simulate fluid flow inside fl
287 basis of flow measurements and computational fluid dynamics, we applied a tandem stenosis to the caro
288 iled three-dimensional analysis of the local fluid dynamics, we estimate a mean effective thickness o
289          Based on observations and theory of fluid dynamics, we propose that convection caused by bri
290                          Using computational fluid dynamics, we show that osteostracan headshield mor
291                                Computational fluid dynamics were applied to estimate the shear stress
292 a longstanding open question in mathematical fluid dynamics: whether smooth initial data for the 3D i
293 is very difficult but extremely important in fluid dynamics, which plays an important role in flight
294 fully couples the Navier-Stokes equations of fluid dynamics with an actuated, elastic body model.
295 isplacement blood pumps, using computational fluid dynamics with fluid-structure interaction to elimi
296  Navier-Stokes equations using computational fluid dynamics with overset grids, and validate our resu
297                   By combining computational fluid dynamics with physical-chemical characteristics of
298 riment and prediction based on computational fluid dynamics, with experiment generally showing only s
299 derstanding and controlling complex unsteady fluid dynamics, with significant implications for engine
300 sis may modify the fluid composition and the fluid dynamics within the storage reservoir.

 
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