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Tetsuro Tsuji (Kyoto University, Japan)

joint work with Koichiro Takita and Satoshi Taguchi (Kyoto University)

Slip-flow Theory for Thermo-osmosis

The 26th RIMS workshop on

Mathematical Analysis in Fluid and Gas Dynamicsorganized by Masashi Aiki and Masahiro Suzuki

July 2-4 (2025) @ RIMS, Kyoto University (presentation on July 3, 15:00-15:50)

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

3 of 56

Introduction

What is thermo-osmosis ?

  • incompressible NS system is decoupled from temperature fields
  • fluid flows cannot be driven by heating without external force
  • thermal convection (buoyancy-force-driven) → suppressed in small scale

advection

decoupled

flow

NS system

heat

energy eq.

1

  • surface effect ∝ L2
  • bulk effect ∝ L3

characteristic length

surface effect

is important

small scale

small

scale

molecular simulation

Fu, et al. (2017)

experiments

Tsuji, et al. (2023)

molecular-scale effects are important

gas

or

liquid

initial configuration

heating starts at 0 sec

thermo-osmosis

7 µm

500 nm

/ 3

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Introduction

molecular effects in fluids

  • significant near boundaries (gas & liq.)
  • fluid-dynamic type eqs are valid in bulk

2

bulk ≫ molecular scale

/ 3

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Introduction

molecular effects in fluids

2

  • significant near boundaries (gas & liq.)
  • fluid-dynamic type eqs are valid in bulk
  • modification of b.c. (molecular scale)

wall

slip boundary condition

slip

/ 3

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Introduction

molecular effects in fluids

2

wall

slip boundary condition

slip

  • significant near boundaries (gas & liq.)
  • fluid-dynamic type eqs are valid in bulk
  • modification of b.c. (molecular scale)

  • boundary-layer correction (?)�(may not be significant in bulk…)

“fluid eqs + slip b.c.” strategy can be applied to various systems

cf. thermophoresis

slip-flow theory

Boltzmann eq

MD sims

fluid eqs+slip bc

costs for molecular-scale effects in fluids

×

Tsuji, et al. (2023)

/ 3

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Introduction

parameter ε Kn ≪ 1

inter-mol. coll.

kinetic eq.

molecular velocity

scaled

velocity distribution function

characteristic length

mean free path

Kn =

L

rarefied gas

(or molecular gas)

large Kn → collision with surfaces > collision with gas molecules

small Kn → frequent collision between gas molecules

e.g. mass flux

macroscopic quantities

are obtained from f

what is slip-flow theory?

3

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Introduction

parameter ε Kn ≪ 1

inter-mol. coll.

kinetic eq.

molecular velocity

scaled

velocity distribution function

characteristic length

mean free path

Kn =

L

rarefied gas

(or molecular gas)

large Kn → collision with surfaces > collision with gas molecules

small Kn → frequent collision between gas molecules

e.g. mass flux

macroscopic quantities

are obtained from f

what is slip-flow theory?

asymptotic theory for Kn ≪ 1

(i.e., frequent inter-mol. collision)

Sone (2007)

3

/ 3

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Introduction

f = f0 + ε f1 + ε2 f2 + ・・・

correction

kinetic eq.

molecular velocity

inter-mol. coll.

parameter ε Kn ≪ 1

scaled

asymptotic theory for Kn ≪ 1

(i.e., frequent inter-mol. collision)

fluid-dynamic

equations

slip boundary

condition

analysis of Knudsen layer

bulk

boundary-layer

correction�(Knudsen layer)

sol. =

(kinetic) b.c. cannot be satisfied

×

velocity slip and temperature jump appear in the boundary-layer eqs.

💡

fluid-dynamic type system governs overall behavior

velocity distribution function

Sone (2007)

what is slip-flow theory?

3

×

systematic

×

×

inter-molecular potential�fluid-solid interaction

volume excl.

flow velocity

unit tangent

slip coeff

temperature

e.g. thermal slip

Boltzmann

MD

fluid eqs

+ slip

×

costs

/ 3

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Introduction

f = f0 + ε f1 + ε2 f2 + ・・・

correction

kinetic eq.

molecular velocity

inter-mol. coll.

parameter ε Kn ≪ 1

scaled

asymptotic theory for Kn ≪ 1

(i.e., frequent inter-mol. collision)

fluid-dynamic

equations

slip boundary

condition

analysis of Knudsen layer

bulk

boundary-layer

correction�(Knudsen layer)

sol. =

fluid-dynamic type system governs overall behavior

velocity distribution function

this study

hydrophobic

hydrophilic

U

near-wall

interaction

potential

model of fluid-solid interaction

wall

what is slip-flow theory?

3

Boltzmann

MD

fluid eqs

+ slip

×

costs

velocity slip and temperature jump appear in the boundary-layer eqs.

💡

×

systematic

×

×

inter-molecular potential�fluid-solid interaction

volume excl.

flow velocity

unit tangent

slip coeff

temperature

e.g. thermal slip

/ 3

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

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Description of the problem

  • thermal transpiration�(= thermo-osmosis in gases)
  • flow between two parallel plates�with linear temperature profile
  • flow induced by molecular effect
  • analysis based on kinetic eqs

Sone (1966), Niimi (1968), Loyalka (1969), ・・・, Ohwada et al., (1989),

Loyalka & Hickey (1991), ・・・, Takata & Funagane (2013), ・・・

classical problem

1

wall temperature

reference temperature

dimensionless parameter ≪ 1

BGK model

/ 3

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Description of the problem

  • thermal transpiration�(= thermo-osmosis in gases)
  • flow between two parallel plates�with linear temperature profile
  • flow induced by molecular effect
  • analysis based on kinetic eqs
  • fluid-solid interaction potential

Sone (1966), Niimi (1968), Loyalka (1969), ・・・, Ohwada et al., (1989),

Loyalka & Hickey (1991), ・・・, Takata & Funagane (2013), ・・・

classical problem

wall temperature

reference temperature

dimensionless parameter ≪ 1

1

BGK model

/ 3

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Description of the problem

  • thermal transpiration�(= thermo-osmosis in gases)
  • flow between two parallel plates�with linear temperature profile
  • flow induced by molecular effect
  • analysis based on kinetic eqs
  • fluid-solid interaction potential
  • small temperature gradient (cT ≪1)� linearization around � a reference equilibrium state

Sone (1966), Niimi (1968), Loyalka (1969), ・・・, Ohwada et al., (1989),

Loyalka & Hickey (1991), ・・・, Takata & Funagane (2013), ・・・

classical problem

wall temperature

reference temperature

dimensionless parameter ≪ 1

local equilibrium at rest with

temperature T0 and density ρ0*(X1)

normalization

constant

average

  • diffuse reflection boundary condition

f0*

short-range interaction

long-range interaction

gas const.

1

BGK model

/ 3

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Description of the problem

  • thermal transpiration�(= thermo-osmosis in gases)
  • flow between two parallel plates�with linear temperature profile
  • flow induced by molecular effect
  • analysis based on kinetic eqs
  • fluid-solid interaction potential
  • small temperature gradient (cT ≪1)� linearization around � a reference equilibrium state

Sone (1966), Niimi (1968), Loyalka (1969), ・・・, Ohwada et al., (1989),

Loyalka & Hickey (1991), ・・・, Takata & Funagane (2013), ・・・

classical problem

wall temperature

reference temperature

dimensionless parameter ≪ 1

  • diffuse reflection boundary condition

f0*

short-range interaction

long-range interaction

velocity distribution function

reference

perturbation

linearize

1

BGK model

/ 3

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Description of the problem

reference temperature

dimensionless parameter ≪ 1

  • linearized BGK model

unknown

position

molecular velocity

potential

at x1 = 1/2

at x1 = -1/2

pseudo-Sutherland-type near-wall potential

parameter ≪ 1

(dimensionless range of the potential)

near the wall at x1 = 1/2

parameter = O(1)

(magnitude of the potential with sign)

reference length = D

2

/ 3

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Description of the problem

reference temperature

dimensionless parameter ≪ 1

  • linearized BGK model

unknown

position

molecular velocity

parameter ≈ Knudsen number ≪ 1

reference density

near the wall at x1 = 1/2

local

equilibrium

density

velocity

temperature

gaussian

2

/ 3

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Description of the problem

reference temperature

dimensionless parameter ≪ 1

  • linearized BGK model

unknown

position

molecular velocity

near the wall at x1 = 1/2

  • boundary condition

wall temperature gradient

diffuse

reflection

short-range interaction

long-range interaction

parameter ≪ 1

parameter ≪ 1

parameter = O(1)

2

/ 3

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Description of the problem

  • linearized BGK model

unknown

position

molecular velocity

near the wall at x1 = 1/2

  • boundary condition

wall temperature gradient

diffuse

reflection

short-range interaction

long-range interaction

parameter ≪ 1

parameter ≪ 1

parameter = O(1)

goal: analyze this system using

  1. (generalized) slip-flow theory
  2. numerical analysis

compare

thermal-slip coef.

slip coefficient

(on the wall)

2

/ 3

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Description of the problem

  • scaling assumption

param.

physical meaning

temperature gradient (∝ perturbation)

mean free path (gas rarefaction)

range of the potential (∝ molecular diameter)

magnitude (& sign) of the potential

order

≪ or ≪1

≪ 1

≪ 1

O(1)

assumptions so far introduced…

additional scaling assumption

mean free path

0 ≈ (2)-1

number density

molecular diameter

σ

3 = O(1)

the molecular-volume effect may NOT be negligible

3

/ 3

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Description of the problem

result of numerical analysis

  • scaling assumption

additional scaling assumption

δ

no potential

flow ∝ k

slip-flow theory works

mean free path

range of potential

mean free path

3

/ 3

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Description of the problem

  • scaling assumption

additional scaling assumption

δ

result of numerical analysis

δ = 0.01, 0.02, …, 0.09, 0.10

k = 0.01, 0.02, …, 0.09, 0.10

with potential

flow ∝ k

×

3

/ 3

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Description of the problem

  • scaling assumption

additional scaling assumption

result of numerical analysis

δ

δ = 0.01, 0.02, …, 0.09, 0.10

k = 0.01, 0.02, …, 0.09, 0.10

with potential

flow ∝ k

3

/ 3

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

25 of 56

Slip-flow theory under the potential

step 1

decomposition into bulk and Knudsen layer (KL)

fluid-dynamic

equations

slip boundary

condition

Knudsen-layer analysis

bulk

boundary-layer�(Knudsen-layer)

solution =

asymptotic analysis

for small k

  • our system

local

equilibrium

density

velocity

temperature

bulk

KL

step 2

G

K

bulk is NOT affected by potential

Boltzmann eq

MD sims

fluid eqs

+slip bc

×

1

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Slip-flow theory under the potential

remainder

step 2

asymptotic analysis for small k for bulk part

  • our system

bulk

KL

  • without potential

1

rewrite

O(δ/k)

O(U/δ)

the effective range of is confined in near-wall region with thickness δ

magnified

near wall

without potential

2

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Slip-flow theory under the potential

  • neglect the potential

step 2

asymptotic analysis for small k for bulk part

  • our system

bulk

KL

  • without potential

rewrite

remainder

O(δ/k)

O(U/δ)

without potential

2

/14

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Slip-flow theory under the potential

  • neglect the potential
  • neglect boundary condition
  • moderately varying

step 2

asymptotic analysis for small k for bulk part

  • our system

bulk

KL

  • without potential

rewrite

remainder

  • power-series expansion

(Hilbert expansion)

O(δ/k)

O(U/δ)

without potential

2

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Slip-flow theory under the potential

step 2

asymptotic analysis for small k for bulk part

  • our system

bulk

KL

  • without potential

rewrite

remainder

velocity distribution functions

Stokes equations

same as conventional results

O(δ/k)

O(1)

O(U/δ)

2

eq of state

/14

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Slip-flow theory under the potential

step 2

asymptotic analysis for small k for bulk part

  • our system

bulk

KL

  • without potential

1

rewrite

remainder

velocity distribution functions

  • boundary condition

corrections are necessary…

O(δ/k)

O(1)

O(U/δ)

no slip b.c.

×

×

2

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Slip-flow theory under the potential

fluid-dynamic

equations

slip boundary

condition

Knudsen-layer analysis

bulk

boundary-layer�(Knudsen-layer)

solution =

asymptotic analysis

for small k

step 3

Knudsen-layer analysis

bulk

KL

correction

  • power-series expansion

step 3

(near x1 = 1/2)

  • boundary-layer coordinate

(NOT moderately varying)

remainder

  • effect of the potential retained

neglected terms in bulk analysis

appears as inhomogeneous terms

without potential

3

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Slip-flow theory under the potential

remainder from bulk

step 3

Knudsen-layer analysis

value on the boundary

leading order

e.g.

local equilibrium

bulk

KL

correction

potential near x1=1/2

4

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Slip-flow theory under the potential

step 3

Knudsen-layer analysis

leading order

remainder from bulk

b.c.

(correction must vanish at infinity)

bulk

KL

correction

leading-order solution

4

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Slip-flow theory under the potential

step 3

Knudsen-layer analysis

first order

bulk

KL

correction

temperature jump

shear slip

thermal slip

no flux across the wall

5

/14

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Slip-flow theory under the potential

first order

temperature jump

shear slip

thermal slip

no flux across the wall

b.c.

boundary value of bulk solution at the first order

slip

jump

5

/14

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Slip-flow theory under the potential

first order

no flux across the wall

b.c.

boundary value of bulk solution at the first order

slip

jump

decomposition

thanks to the linearity of the system,

we arrive at three b.v. problems

5

/14

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Slip-flow theory under the potential

first order

no flux across the wall

b.c.

boundary value of bulk solution at the first order

slip

jump

decomposition

our problem (thermo-osmosis)

thanks to the linearity of the system,

we arrive at three b.v. problems

5

/14

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Slip-flow theory under the potential

decomposition

thermal-slip coefficient

bulk

KL

correction

6

/14

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Slip-flow theory under the potential

u2G

u2K

slip coef b2(1)

Stokes equations

fluid-dynamic

equations

slip boundary

condition

bulk

boundary-layer

(Knudsen-layer)

sol. =

  • framework of slip flow theory

KL problem

(=Y2(1))

step 2

u2

u2

flow velocity, temperature, pressure, etc.

step 1

7

/14

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

41 of 56

Analysis of thermo-osmosis

Stokes eq

slip b.c.

  • similarity solution

new unknown

macroscopic quantities

goal: analyze this system using

  1. (generalized) slip-flow theory
  2. numerical analysis

compare

thermal-slip coef.

  1. slip-flow theory

  • numerical analysis

slip coef + KL correcton

PDE for   and

8

/14

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Analysis of thermo-osmosis

u2

slip-flow theory

channel center

wall

u2 = 0

no potential

9

/14

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Analysis of thermo-osmosis

u2

channel center

wall

slip-flow theory

attractive potential

u2 = 0

9

/14

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Analysis of thermo-osmosis

u2

channel center

wall

slip-flow theory

repulsive potential

u2 = 0

9

/14

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Analysis of thermo-osmosis

u2

channel center

wall

slip-flow theory

attractive potential (U > 0)

flow enhance

repulsive potential (U < 0)

flow reversal

with potential (U ≠ 0)

same flow structure, but…

9

repulsive potential

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Analysis of thermo-osmosis

u2

slip-flow theory

attractive potential (U > 0)

flow enhance

repulsive potential (U < 0)

flow reversal

with potential (U ≠ 0)

same flow structure, but…

effect of is not very monotone

mild

drastic

10

/14

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

48 of 56

Comparison with numerical analysis

attractive potential

  • slip flow theory agrees well with numerical analysis

11

/14

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Comparison with numerical analysis

  • slip flow theory agrees well with numerical analysis
  • discrepancy is proportional to k as predicted by the slip flow theory

attractive potential

magnification near the wall

11

/14

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Comparison with numerical analysis

  • slip flow theory agrees well with numerical analysis
  • discrepancy is proportional to k as predicted by the slip flow theory
  • flow velocity exhibits singular profile near the wall

repulsive potential

magnification near the wall

11

/14

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Comparison with numerical analysis

slip-flow theory

numerical analysis

  • quantitative comparison of slip coefficient b2(1)

U = 1

mean free path

range of potential

12

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Comparison with numerical analysis

slip-flow theory

numerical analysis

  • quantitative comparison of slip coefficient b2(1)

U = 1

ratio

quantitative agreement

between slip-flow theory

and numerical analysis

12

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Table of contents

(10 min)

(10 min)

(20 min)

  • what is thermo-osmosis?
  • what is slip-flow theory?

  • governing equations, boundary conditions, potential
  • scaling assumptions

  • slip-flow theory under the potential
  • analysis of thermo-osmosis problem
  • comparison with numerical analysis
  • similarity with molecular simulation results

  • Introduction

  • Description of the problem

  • Result

  • Concluding remarks

speaker: Tetsuro Tsuji (Kyoto University)

title: Slip-flow Theory for Thermo-osmosis

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)

54 of 56

Similarity with molecular simulation

Wang, et al. Nano Lett. (2020)

Fan, et al.

Int. J. Heat Mass Trans. (2024)

Fu, et al. Phys. Rev. Lett. (2017)

Qi, et al. Phys. Fluids (2024)

13

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Similarity with molecular simulation

  • sign reversal occurs when wettability is changed
  • thermo-osmotic coefficient is in the range �M12 = O(10-8) O(10-6) m2/s

Fu, et al. Phys. Rev. Lett. (2017)

Ganti, et al., Phys. Rev. Lett. (2017)

Qi, et al., Phys. Fluids (2024)

M12 = KTST0

present definition of

thermo-osmotic coefficient

thermal-slip coefficient

thermal speed

“mean free path”

reference temperature

dimensionless

slip coef. = O(1)

  • the order of average molecular speed v0102 –103 m/s
  • the “mean free path0 ≈ range of potential δD0.1–1 nm
  • the (non-dimensional) thermal-slip coefficient |b2(1) | 0.1–1

M12 = 10-9 –10-6 m2/s

similar order of magnitude

PRESENT STUDY

13

M12

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Conclusion

  • Slip-flow theory in kinetic theory is applied to the thermo-osmosis between two parallel plates under the effect of near-wall fluid-solid interaction potential
  • Scaling assumption k ~ δ (i.e., mean free path ~ range of potential) is necessary
  • Slip-flow theory well reproduces the result of numerical analysis
  • Sign reversal occurs when the interaction is repulsive, qualitative agreement with the results of molecular simulation in the literature

Tsuji, Takita, Taguchi, arXiv 2506.20229 (2025)