No 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.

Neste trabalho foi realizada a determinação de matéria orgânica em solos por espectroscopia no infravermelho próximo empregando máquina de vetores de suporte para tratamento dos dados. Para o desenvolvimento do modelo foi utilizada uma biblioteca com cerca de 26 mil amostras de solos, resultando em erros quadráticos médios da ordem de 4,3g/dm^3, para matéria orgânica na faixa de 0 a 47 g/dm^3. Os resultados mostraram que é possível desenvolver uma metodologia alternativa de menor custo, mais rápida que o método tradicional e ambientalmente sustentável.

Given the remarkable developments in synthetic control over colloidal particle chemical and physical properties, 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 non-equilibrium trajectories of individual Yb(III):Er(III) co-doped colloidal and nanoparticles driven by two-dimensional dynamic optical traps. We characterize the role of fluctuations at the single particle level by analyzing position trajectories as well as time-dependent upconversion and downconversion emission intensities. By integrating these two complementary perspectives, we show how the methods developed here can be used to characterize rare events.