Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories

Henrik Seckler, Janusz Szwabiński, Ralf Metzler

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DOI: 10.1021/acs.jpclett.3c01351
Published: 2023-08-30
Container: The Journal of Physical Chemistry Letters
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jpclett.3c01351,
  title = {Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories},
  author = {Henrik Seckler and Janusz Szwabiński and Ralf Metzler},
  year = {2023},
  journal = {The Journal of Physical Chemistry Letters},
  doi = {10.1021/acs.jpclett.3c01351},
  url = {https://doi.org/10.1021/acs.jpclett.3c01351}
}

RIS

TY  - JOUR
TI  - Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
AU  - Henrik Seckler
AU  - Janusz Szwabiński
AU  - Ralf Metzler
PY  - 2023
JO  - The Journal of Physical Chemistry Letters
DO  - 10.1021/acs.jpclett.3c01351
UR  - https://doi.org/10.1021/acs.jpclett.3c01351
ER  -

APA

Seckler, H., Szwabiński, J., & Metzler, R. (2023). Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/acs.jpclett.3c01351

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crossref · retrieved 2026-09-26T18:37:28.702Z