Spectroscopic characterization of rare events in colloidal particle stochastic thermodynamics.

Sandro K Otani, Thalyta T Martins, Sérgio R Muniz, Paulo C de Sousa Filho, Fernando A Sigoli, René A Nome

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Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 citing paper in PubMed.

Physics-informed deep learning for stochastic particle dynamics estimation.Proceedings of the National Academy of Sciences of the United States of America · 2025
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Authors and funding

6 authors.

Sandro K OtaniInstitute of Chemistry, State University of Campinas, Campinas, Brazil.

Thalyta T MartinsSão Carlos Institute of Physics, University of São Paulo, São Carlos, Brazil.

Sérgio R MunizSão Carlos Institute of Physics, University of São Paulo, São Carlos, Brazil.

Paulo C de Sousa FilhoInstitute of Chemistry, State University of Campinas, Campinas, Brazil.

Fernando A SigoliInstitute of Chemistry, State University of Campinas, Campinas, Brazil.

René A NomeInstitute of Chemistry, State University of Campinas, Campinas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the remarkable developments in synthetic control over chemical and physical properties of colloidal particles, it is interesting to see how stochastic thermodynamics studies may be performed with new, surrogate, or hybrid model systems. In the present work, we apply stochastic dynamics and nonlinear optical light-matter interaction simulations to study nonequilibrium trajectories of individual Yb (III):Er (III) colloidal particles driven by two-dimensional dynamic optical traps. In addition, we characterize the role of fluctuations at the single-particle level by analyzing position trajectories and time-dependent upconversion emission intensities. By integrating these two complementary perspectives, we show how the methods developed here can be used to characterize rare events.

Indexed as

Langevinlanthanidesrare eventsspectroscopystochastic thermodynamics

Identifiers

PMID36034664

DOI10.3389/fchem.2022.879524

PMCPMC9412910

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