ライフサイエンスコーパス: fluid dynamics

1 ta assimilation, for example, in geophysical fluid dynamics.

2 ns can be well described using computational fluid dynamics.

3 of the beam power distribution to the local fluid dynamics.

4 annel, which were confirmed by computational fluid dynamics.

5 tion, graft apposition, and tissue interface fluid dynamics.

6 surface tension, gravity, and incompressible fluid dynamics.

7 essential yet long-neglected by traditional fluid dynamics.

8 ments of interest (n=142) with computational fluid dynamics.

9 rgent properties determined by the resulting fluid dynamics.

10 n incorrect application of the principles of fluid dynamics.

11 time points through the use of computational fluid dynamics.

12 ferent climatic conditions via computational fluid dynamics.

13 ing simulation models based on computational fluid dynamics.

14 es for pulmonary diseases involving abnormal fluid dynamics.

15 ally be used to monitor how the interstitial fluid dynamics affect cancer microenvironment and plasti

16 a local workstation by using a computational fluid dynamics algorithm.

17 We used computational fluid dynamics analysis to assess hemodynamic parameters

18 ssure calculations, using both computational fluid dynamics and a newly developed method from empiric

19 ultiscale mathematical model that integrates fluid dynamics and an intracellular insulin signaling pa

20 odel relied on the coupling of computational fluid dynamics and biochemical kinetics, and was validat

21 Fluid dynamics and evolutionary biology independently pr

22 haracteristics in humans using computational fluid dynamics and frequency-domain optical coherence to

23 Recent advances in computational fluid dynamics and image-based modeling now permit deter

24 A coupled computational fluid dynamics and mass transfer model was applied to pr

25 The analysis describes the characteristic fluid dynamics and mass transport effects occurring in a

26 model that provides a deep understanding of fluid dynamics and mass transport in the EOPPP method, a

27 odelling the coupling between heat transfer, fluid dynamics and surface reaction kinetics.

28 tic field, and study the micro-environmental fluid dynamics and their effect on tumor growth by accou

29 ll organs, responsible for maintaining organ fluid dynamics and tissue homeostasis.

30 Here we present data from computational fluid dynamics and video endoscopy in suspension-feeding

31 ation of vapour in liquids, is ubiquitous in fluid dynamics, and is often implicated in a myriad of i

32 We draw on the fields of biomechanics, fluid dynamics, and robotics to demonstrate that there i

33 A computational fluid dynamics approach was taken, solving the Navier-St

34 The three-dimensional intracochlear fluid dynamics are coupled to a micromechanical model of

35 Computational fluid dynamics based on finite element analysis was used

36 the dual-pulse to control the plasma-driven fluid dynamics by adjusting the axial offset of the two

37 sing first-principle chemistry, physics, and fluid dynamics, calibrated from depuration experiments.

38 Intraventricular fluid dynamics can be assessed clinically using imaging.

39 r feeding is inconsistent with computational fluid dynamics (CFD) and analytical estimates.

40 We present a computational fluid dynamics (CFD) model for the swimming of micro org

41 Here, we used a computational fluid dynamics (CFD) model of rat nasal cavity to simula

42 two-dimensional moving domain computational fluid dynamics (CFD) model, providing new insights into

43 I was used in conjunction with computational fluid dynamics (CFD) modeling to investigate the hemodyn

44 al tumor capillary models, and Computational Fluid Dynamics (CFD) modeling.

45 We performed computational fluid dynamics (CFD) simulations to calculate the wall s

46 We performed computational fluid dynamics (CFD) simulations to determine the variat

47 re confirmed by fully resolved computational fluid dynamics (CFD) simulations.

48 In this paper, a computational fluid dynamics (CFD) study was conducted in a nondetermi

49 This paper uses Computational Fluid Dynamics (CFD) to conduct a parametric study to en

50 ch pairing experimentation and computational fluid dynamics (CFD) was selected to provide comprehensi

51 M) and hemodynamic effects via computational fluid dynamics (CFD).

52 nd WSS were quantified with 3D computational fluid dynamics (CFD).

53 n the cloudy atmosphere, and a computational fluid dynamics code for the Richtmyer-Meshkov instabilit

54 To correlate intraoperative interface fluid dynamics during Descemet stripping automated endot

55 y capture technique-dependent differences in fluid dynamics during DSAEK.

56 suggest that neither polysaccharide altered fluid dynamics during infection since GXM behaved in sol

57 Living systems rely on fluid dynamics from embryonic development to adulthood.

58 The laws of fluid dynamics govern vortex ring formation and precede

59 capillary expansions, but the details of the fluid dynamics have not been elucidated.

60 Mathematical models including detailed fluid dynamics have previously been used to understand b

61 It was found that complex coupled fluid dynamics, heat transfer, and electrostatic phenome

62 ter technique, showing through computational fluid dynamics how the mixing efficiency strongly depend

63 We report the direct observation of fluid dynamics in a single zinc oxide nanotube with the

64 These observations hint at the polariton fluid dynamics in conditions of extreme intensities and

65 o our knowledge, this is the first time that fluid dynamics in diagnostic membranes have been analyze

66 The fluid dynamics in this regime are very different from th

67 erimental access to questions of microscopic fluid dynamics in vivo.

68 ery low Reynolds number, the regime in which fluid dynamics is governed by Stokes equations, a helix

69 Computational fluid dynamics is used to determine the flow pattern wit

70 heric sulfate aerosols) from the Geophysical Fluid Dynamics Laboratory and Hadley Centre climate mode

71 Using the Geophysical Fluid Dynamics Laboratory comprehensive Earth System Mod

72 imate (A2 and B1 IPCC emissions; Geophysical Fluid Dynamics Laboratory General Circulation Models) on

73 e an earth system model from the Geophysical Fluid Dynamics Laboratory to investigate regional impact

74 ns on filling and to assess whether impaired fluid dynamics may be a source of diastolic dysfunction.

75 computed tomography to create computational fluid dynamics model cones.

76 The computational fluid dynamics model is used to determine the shape of a

77 dam environments, we combine a computational fluid dynamics model of the flow field at a dam and a be

78 perimental results are compared to a complex fluid dynamics model showing an agreement between the tw

79 Here we simulate stratocumulus clouds with a fluid dynamics model that includes detailed treatments o

80 We use a computational fluid dynamics model to show that this frequency-invaria

81 two-dimensional heterogeneous computational fluid dynamics model was developed and validated to stud

82 intravascular ultrasound) and computational fluid dynamics modeling for WSS calculation.

83 Using immunohistochemistry, computational fluid dynamics modeling, and patch clamp recording, we d

84 crocapillary flow, verified by computational fluid dynamics modelling.

85 V reactors as well as validate computational fluid dynamics models that are widely used to simulate U

86 riments help to explain how dogs exploit the fluid dynamics of the generated column.

87 impact of plasma dynamics and plasma-driven fluid dynamics on the flame growth of laser ignited mixt

88 ient-specific assessment using computational fluid dynamics provides an estimate of local hemodynamic

89 ed from theories of biochemical oscillation, fluid dynamics, reaction-diffusion-based pattern instabi

90 icromotors, and along with the corresponding fluid dynamics, results in a highly efficient mobile CO2

91 A computational fluid dynamics simulation (CFD) was performed using our

92 the DropArray plate were quantified through fluid dynamics simulation and complete retention of susp

93 ows, validating the multiphase computational fluid dynamics simulation.

94 ticle tracking velocimetry and computational fluid dynamics simulations to estimate the contractile f

95 l patterns can be predicted by computational fluid dynamics simulations with high experimental correl

96 ts showing good agreement with computational fluid dynamics simulations.

97 spectroscopy velocimetry and finite element fluid dynamics simulations.

98 Computational fluid dynamics software may be used to predict the influ

99 By investigating the fluid dynamics that controls the transport of the MVP in

100 work now supports an evolving model of body fluid dynamics that integrates exchangeable Na(+) stores

101 As fluid dynamics throughout the placenta are driven by a v

102 Here we apply a fundamental technique from fluid dynamics to an ecosystem model to show how fronts

103 In parallel, we used simulations of fluid dynamics to analyze our experimental data.

104 ed favorably to an analytical model based on fluid dynamics to describe the energy deposition.

105 consider the vascular/interstitial/lymphatic fluid dynamics to show that tumors with larger lymphatic

106 ntum systems, which is suitable for encoding fluid dynamics transport phenomena within a lattice kine

107 Understanding fluid dynamics under extreme confinement, where device a

108 Computational fluid dynamics was used to model flow past multiple adhe

109 Computational fluid dynamics was used to simulate fluid flow inside fl

110 basis of flow measurements and computational fluid dynamics, we applied a tandem stenosis to the caro

111 iled three-dimensional analysis of the local fluid dynamics, we estimate a mean effective thickness o

112 fully couples the Navier-Stokes equations of fluid dynamics with an actuated, elastic body model.

113 Navier-Stokes equations using computational fluid dynamics with overset grids, and validate our resu

114 By combining computational fluid dynamics with physical-chemical characteristics of

115 riment and prediction based on computational fluid dynamics, with experiment generally showing only s