Nanoparticle Shape Influences the Magnetic Response of Ferro-Colloids
Source abstract
Abstract
The interesting magnetic response of conventional ferro-colloid has proved extremely useful in a wide range of technical applications. Furthermore, the use of nano/micro- sized magnetic particles has proliferated cutting-edge medical research, such as drug targeting and hyperthermia. In order to diversify and improve the application of such systems, new avenues of functionality must be explored. Current efforts focus on incorporating directional interactions that are surplus to the intrinsic magnetic one. This additional directionality can be conveniently introduced by considering systems composed of magnetic particles of different shapes. Here we present a combined analytical and simulation study of permanently magnetized dipolar superball particles; a geometry that closely resembles magnetic cubes synthesized in experiments. We have focused on determining the initial magnetic susceptibility of these particles in dilute suspensions, seeking to quantify the effect of the superball shape parameter on the system response. In turn, we linked the computed susceptibilities to the system microstructure by analyzing cluster composition using a connectivity network analysis. Our study has shown that by increasing the shape parameter of these superball particles, one can alter the outcome of self-assembly processes, leading to the observation of an unanticipated decrease in the initial static magnetic susceptibility.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Characterization and Applications of Magnetic Nanoparticles · Geomagnetism and Paleomagnetism Studies · Theoretical and Computational Physics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Physics, University of Vienna, Boltzmanngasse 5, Vienna 1090, Austria
Ural Federal University, Lenin av. 51, Ekaterinburg 620083, Russia
Funding
Austrian Science Fund · Deutsche Forschungsgemeinschaft · Russian Foundation for Basic Research · Ministry of Education and Science of the Russian Federation
References (51)
Show source-provided references
1. Rosensweig R. · 1997
2. Odenbach S. · 200910.1007/978-3-540-85387-9 ↗
3. Odenbach S. · 2002 · 59410.1007/3-540-45646-5_10 ↗
4. 10.1039/C4SM01308E10.1039/C4SM01308E ↗
5. 10.1016/j.cocis.2011.01.00310.1016/j.cocis.2011.01.003 ↗
6. 10.1039/c3sm50500f10.1039/c3sm50500f ↗
7. 10.1002/smll.20090013510.1002/smll.200900135 ↗
8. 10.1039/C4CP03099K10.1039/C4CP03099K ↗
9. 10.1039/b819321p10.1039/b819321p ↗
10. 10.1021/la203969f10.1021/la203969f ↗
11. 10.1039/C5SM02899J10.1039/C5SM02899J ↗
12. 10.1039/b814304h10.1039/b814304h ↗
13. 10.1021/la903348s10.1021/la903348s ↗
14. 10.1038/nature1161910.1038/nature11619 ↗
15. 10.1021/ja301344n10.1021/ja301344n ↗
16. 10.1016/0021-9797(92)90062-Q10.1016/0021-9797(92)90062-Q ↗
17. 10.1021/ja069247810.1021/ja0692478 ↗
18. 10.1021/nl010052210.1021/nl0100522 ↗
19. 10.1039/b919992f10.1039/b919992f ↗
20. 10.1021/la402769u10.1021/la402769u ↗
21. 10.1002/smll.20100083210.1002/smll.201000832 ↗
22. 10.1038/ncomms252010.1038/ncomms2520 ↗
23. 10.1038/nature0723710.1038/nature07237 ↗
24. 10.1039/C0SM01246G10.1039/C0SM01246G ↗
25. 10.1039/C7NR01245D10.1039/C7NR01245D ↗
26. 10.1103/PhysRevE.81.06110510.1103/PhysRevE.81.061105 ↗
27. 10.1039/c2sm25813g10.1039/c2sm25813g ↗
28. 10.1103/PhysRevE.79.04130910.1103/PhysRevE.79.041309 ↗
29. 10.1021/la300705210.1021/la3007052 ↗
30. 10.1073/pnas.141546711210.1073/pnas.1415467112 ↗
31. 10.1039/C5SM00729A10.1039/C5SM00729A ↗
32. 10.1039/C4SM02869D10.1039/C4SM02869D ↗
33. 10.1039/c3sm51553b10.1039/c3sm51553b ↗
34. 10.1039/C5SM00338E10.1039/C5SM00338E ↗
35. 10.1080/00268976.2016.127847710.1080/00268976.2016.1278477 ↗
36. 10.1103/PhysRevE.66.02140510.1103/PhysRevE.66.021405 ↗
37. Kantorovich S. S. · 2016 · 193 · 137
38. 10.1016/S0304-8853(96)00067-410.1016/S0304-8853(96)00067-4 ↗
39. 10.1103/PhysRevE.64.04140510.1103/PhysRevE.64.041405 ↗
40. 10.1103/PhysRevE.70.05150210.1103/PhysRevE.70.051502 ↗
41. 10.1039/C4NR07101H10.1039/C4NR07101H ↗
42. 10.1103/PhysRevLett.110.14830610.1103/PhysRevLett.110.148306 ↗
43. 10.1021/jz300931s10.1021/jz300931s ↗
44. 10.1103/PhysRevE.70.02140110.1103/PhysRevE.70.021401 ↗
45. 10.1103/PhysRevLett.96.03720310.1103/PhysRevLett.96.037203 ↗
46. 10.1021/acs.macromol.5b0108610.1021/acs.macromol.5b01086 ↗
47. 10.1016/j.jmmm.2016.09.04810.1016/j.jmmm.2016.09.048 ↗
48. 10.1162/neco.2007.19.6.150310.1162/neco.2007.19.6.1503 ↗
49. 10.1063/1.167482010.1063/1.1674820 ↗
50. Arnold, A.; Lenz, O.; Kesselheim, S.; Weeber, R.; Fahrenberger, F.; Roehm, D.; Kos̆ovan, P.; Holm, C.InMeshfree Methods for Partial Differential Equations VI, Lecture Notes in Computational Science and Engineering;Griebel, M.; Schweitzer, M. A., Eds.Springer:Berlin Heidelberg, 2013; Vol.89, pp1–23.10.1007/978-3-642-32979-1_1 ↗
51. 10.1063/1.300038910.1063/1.3000389 ↗