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PreprintCC BY 4.0arXiv

Inferring interactions between active particles using harmonic traps

  • Arnaud Compagnie
  • Joscha Mecke
  • Ivo Buttinoni
  • Hartmut Löwen
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Abstract

Quantifying the interactions between active Janus particles remains a challenge that needs to be addressed to describe their collective behaviour. Inspired by a photonic force microscopy setup where two active Janus particles are confined in separate optical tweezers, we derive the steady-state probability distribution of each particle bearing signatures of the pair phoretic interaction, which can be generalised to a broader range of interactions. This approach allows us to infer interaction forces and torques from positional configurations without any knowledge of the particle orientations. Unraveling the distance-dependent interaction between active particles is essential to harnessing them as building blocks for advanced materials with dynamic properties.

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Cite

BibTeXRIS
BibTeX
@misc{compagnie2026inferring,
  title = {{Inferring interactions between active particles using harmonic traps}},
  author = {Arnaud Compagnie and Joscha Mecke and Ivo Buttinoni and Hartmut Löwen},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.20371},
  eprint = {2609.20371},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.20371},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Inferring interactions between active particles using harmonic traps
AU  - Arnaud Compagnie
AU  - Joscha Mecke
AU  - Ivo Buttinoni
AU  - Hartmut Löwen
PY  - 2026
DA  - 2026/09/17
PB  - arXiv
DO  - 10.48550/arxiv.2609.20371
UR  - https://arxiv.org/abs/2609.20371
AB  - Quantifying the interactions between active Janus particles remains a challenge that needs to be addressed to describe their collective behaviour. Inspired by a photonic force microscopy setup where two active Janus particles are confined in separate optical tweezers, we derive the steady-state probability distribution of each particle bearing signatures of the pair phoretic interaction, which can be generalised to a broader range of interactions. This approach allows us to infer interaction forces and torques from positional configurations without any knowledge of the particle orientations. Unraveling the distance-dependent interaction between active particles is essential to harnessing them as building blocks for advanced materials with dynamic properties.
ER  -