Many microfluidic systems using magnetic particles are established without a detailed knowledge about the inner physics. The current understanding of the controlled manipulation of magnetic beads is mostly based on the motion of particle compounds but not on the individual bead level. We developed a simulation environment that incorporates magnetic particle dynamics and hydrodynamics in laminar or turbulent flow conditions and in the presence of inhomogeneous external magnetic fields. With increased understanding of the control of magnetic particles existing applications can be improved and new applications can be designed.

1.
A.
Arnold
 et al. “ESPResSo 3.1 - Molecular Dynamics Software for Coarse-Grained Models”
Meshfree Methods for Partial Differential Equations VI
, Vol.
89
of
Lecture Notes in Computational Science and Engineering
,
Springer
,
2013
, pp.
1
23
.
2.
I.
Cimrák
,
M.
Gusenbauer
and
T.
Schrefl
,
Comput. Math. Appl.
,
64
(
3
):
278
288
, (
August 2012
)
3.
R.
Tothova
,
I.
Jancigova
,
I.
Cimrak
, “
Energy contributions of different elastic moduli in mesh-based modeling of deformable objects
,”
ELEKTRO
,
2014
, pp.
634
638
,
19-20 May 2014
, doi: .
4.
I.
Jancigova
,
R.
Tothova
, “
Scalability of forces in mesh-based models of elastic objects
,”
ELEKTRO
,
2014
, pp.
562
,
566
,
19-20 May 2014
, doi:
5.
H.
Bachraty
,
K.
Bachrata
, “
On modeling blood flow in microfluidic devices
,”
ELEKTRO
,
2014
, vol., no., pp.
518
, 521, 19-20 May 2014, doi:
6.
I.
Cimrak
 et al. “
On elasticity of spring network models used in blood flow simulations in ESPResSo
”. In:
Particle-Based Methods III : fundamentals and applications
:
18-20 September 2013
,
Stuttgart, Germany
. -
Barcelona
:
International center for numerical methods in engineering (CIMNE)
,
2013
. - ISBN 978-84-941531-7-4. - pp.
133
144
7.
I.
Cimrák
,
I.
Jancigova
,
R.
Tothova
, “
Recent advances in mesh-based modeling of individual cells in biological fluids
,”
Digital Technologies (DT)
,
2014 International Conference
on,
9-11 July 2014
8.
O.
Philippova
 et al.,
European Polymer Journal
,
47
(
4
):
542
559
(
April 2011
)
9.
G.
Akoun
and
J.
Yonnet
.,
IEEE Transactions on Magnetics
,
20
(
5
):
1962
1964
,
1984
.
10.
N.
Derby
and
S.
Olbert
.,
American Journal of Physics
,
78
(
3
):
229
,
2010
.
11.
M.
Gusenbauer
 et al.,
Journal of Magnetism and Magnetic Materials
,
324
(
6
):
977
982
, (
March 2012
)
12.
M.
Gusenbauer
 et al.,
Physica B: Condensed Matter
435
(
2014
):
21
24
.
13.
C.
Mikkelsen
 et al.,
Journal of Magnetism and Magnetic Materials
,
293
(
1
):
578
583
,
2005
.
14.
S.
Melle
 et al,
Physical Review E
68
(
4
) (
2003
)
041503
.
15.
S.
Krishnamurthy
 et al.,
Microfluidics and Nanofluidics
5
(
1
) (
2007
)
33
41
16.
P.
Deymier
 et al.,
Journal of Applied Physics
75
(
10
) (
1994
)
5571
5573
.
17.
Yadav
,
A.
 et al. “
Dynamics of rotating paramagnetic particles simulated by lattice boltzmann and particle dynamics methods
.”
IEE Proceedings-Nanobiotechnology
. Vol.
153
. No.
6
.
IET Digital Library
,
2006
.
18.
S.
Chen
and
G. D.
Doolen
.
Annual Review of Fluid Mechanics
,
30
(
1
):
329
364
,
1998
.
19.
Dünweg
B
,
Ladd
AJC
. “
Lattice Boltzmann Simulations of Soft Matter Systems
.”
Springer
Berlin Heidelberg
;
2008
20.
M.
Gusenbauer
 et al. “
Magnetic particle dynamics in turbulent flow
Preprint submitted to Journal of Magnetism and Magnetic Materials
,
June 2014
21.
Z.
Feng
,
E.
Michaelides
,
J. Comput. Phys.
195
(
2004
)
602
628
.
This content is only available via PDF.
You do not currently have access to this content.