journal article·2021-09-29Open access

Criteria ruling particle agglomeration

Dieter Vollath

Abstract

Most of the technically important properties of nanomaterials, such as superparamagnetism or luminescence, depend on the particle size. During synthesis and handling of nanoparticles, agglomeration may occur. Agglomeration of nanoparticles may be controlled by different mechanisms. During synthesis one observes agglomeration controlled by the geometry and electrical charges of the particles. Additionally, one may find agglomeration controlled by thermodynamic interaction of the particles in the direction of a minimum of the free enthalpy. In this context, one may observe mechanisms leading to a reduction of the surface energy or controlled by the van der Waals interaction. Additionally, the ensemble may arrange in the direction of a maximum of the entropy. Simulations based on Monte Carlo methods teach that, in case of any energetic interaction of the particles, the influence of the entropy is minor or even negligible. Complementary to the simulations, the extremum of the entropy was determined using the Lagrange method. Both approaches yielded identical result for the particle size distribution of an agglomerated ensemble, that is, an exponential function characterized by two parameters. In this context, it is important to realize that one has to take care of fluctuations of the entropy.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Thermodynamics and Statistical Mechanics · nanoparticles nucleation surface interactions · Statistical Mechanics and Entropy

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (17)

Show source-provided references
1. 10.1007/s11051-011-0343-x10.1007/s11051-011-0343-x ↗
2. 10.1103/physreve.55.448910.1103/physreve.55.4489 ↗
3. 10.1063/1.479220810.1063/1.4792208 ↗
4. 10.3762/bjnano.11.7010.3762/bjnano.11.70 ↗
5. 10.1103/physrev.106.62010.1103/physrev.106.620 ↗
6. 10.1103/physrev.108.17110.1103/physrev.108.171 ↗
7. 10.1119/1.197155710.1119/1.1971557 ↗
8. 10.1109/proc.1982.1242510.1109/proc.1982.12425 ↗
9. 10.1007/978-3-322-80009-110.1007/978-3-322-80009-1 ↗
10. 10.1021/acs.jpcc.5b0789310.1021/acs.jpcc.5b07893 ↗
11. 10.1088/0953-8984/13/9/10110.1088/0953-8984/13/9/101 ↗
12. 10.1073/pnas.142055111110.1073/pnas.1420551111 ↗
13. 10.1016/0095-8522(54)90032-x10.1016/0095-8522(54)90032-x ↗
14. 10.3762/bjnano.9.21110.3762/bjnano.9.211 ↗
15. 10.1016/j.aop.2015.09.01510.1016/j.aop.2015.09.015 ↗
16. 10.1103/physreve.60.272110.1103/physreve.60.2721 ↗
17. 10.1002/cphc.20160113010.1002/cphc.201601130 ↗