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PreprintCC BY-SA 4.0arXiv

Geometry-Encoded Hidden Orientational Memory

  • Vladimir A. Baulin
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Abstract

Materials usually remember their past through dissipative changes of structure or through a net order. Simulations of caged colloidal ellipsoids at a fluid interface reveal a purely orientational memory. The particles stay in place, the layer has no net alignment, and a pattern written by a field is retained by capillary interactions between neighbors. It lasts hundreds of times longer than a particle takes to reorient, while every particle keeps rotating. The layer also remembers sequence: when two strong fields act one after the other on the same particles, it records which came last.

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Cite

BibTeXRIS
BibTeX
@misc{baulin2026geometryencoded,
  title = {{Geometry-Encoded Hidden Orientational Memory}},
  author = {Vladimir A. Baulin},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.19090},
  eprint = {2610.19090},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.19090},
  note = {CC BY-SA 4.0},
}
RIS
TY  - UNPB
TI  - Geometry-Encoded Hidden Orientational Memory
AU  - Vladimir A. Baulin
PY  - 2026
DA  - 2026/10/13
PB  - arXiv
DO  - 10.48550/arxiv.2610.19090
UR  - https://arxiv.org/abs/2610.19090
AB  - Materials usually remember their past through dissipative changes of structure or through a net order. Simulations of caged colloidal ellipsoids at a fluid interface reveal a purely orientational memory. The particles stay in place, the layer has no net alignment, and a pattern written by a field is retained by capillary interactions between neighbors. It lasts hundreds of times longer than a particle takes to reorient, while every particle keeps rotating. The layer also remembers sequence: when two strong fields act one after the other on the same particles, it records which came last.
ER  -