1. Data-driven reaction coordinate discovery in overdamped and non-conservative systems: application to optical matter structural isomerization
- Author
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Chen, Shiqi, Peterson, Curtis W., Parker, John A., Rice, Stuart A., Ferguson, Andrew L., and Scherer, Norbert F.
- Subjects
Science ,General Physics and Astronomy ,Nanoparticle ,Harmonic (mathematics) ,02 engineering and technology ,01 natural sciences ,Article ,General Biochemistry, Genetics and Molecular Biology ,Reaction coordinate ,Nanoscience and technology ,0103 physical sciences ,Nano ,Statistical physics ,010306 general physics ,Physics ,Multidisciplinary ,digestive, oral, and skin physiology ,Method development ,General Chemistry ,021001 nanoscience & nanotechnology ,Linear discriminant analysis ,Active matter ,Optics and photonics ,Principal component analysis ,Particle ,0210 nano-technology - Abstract
Optical matter (OM) systems consist of (nano-)particle constituents in solution that can self-organize into ordered arrays that are bound by electrodynamic interactions. They also manifest non-conservative forces, and the motions of the nano-particles are overdamped; i.e., they exhibit diffusive trajectories. We propose a data-driven approach based on principal components analysis (PCA) to determine the collective modes of non-conservative overdamped systems, such as OM structures, and harmonic linear discriminant analysis (HLDA) of time trajectories to estimate the reaction coordinate for structural transitions. We demonstrate the approach via electrodynamics-Langevin dynamics simulations of six electrodynamically-bound nanoparticles in an incident laser beam. The reaction coordinate we discover is in excellent accord with a rigorous committor analysis, and the identified mechanism for structural isomerization is in very good agreement with the experimental observations. The PCA-HLDA approach to data-driven discovery of reaction coordinates can aid in understanding and eventually controlling non-conservative and overdamped systems including optical and active matter systems., Optical matter consisting of nanoparticle constituents in solution is of key interest due to the exhibited self-assembling mechanisms. The authors propose a principal components analysis based data-driven approach to determine the collective modes of colloidal clusters mimicking optical binding used in colloidal self-assembly.
- Published
- 2021
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