The phrase "a set of particles" is correct and usable in written English.
It can be used in scientific contexts, particularly in physics or chemistry, to refer to a collection of individual particles.
Example: "In the experiment, we observed a set of particles that exhibited unusual behavior under certain conditions."
Alternatives: "a group of particles" or "a collection of particles".
Solid-state dewetting describes the transformation of thin films into a set of particles or droplets at temperatures well below the melting temperature of the bulk.
Suppose that as the cooling began, it led to the appearance of a set of particles that carried a force allowing an inhabitant imprisoned in a dot world to move from its own point to the next and the next, following the path of steppingstones.
The evolution of the configuration of a set of particles dispersed in a flowing liquid is crucial in many applications such as sedimentation, slurry transport, rheology and structured arrays of micro- and nano-particles.
The model was implemented into a computer code simulating a set of particles using the Eulerian Lagrangian approach, that is, it forms an attractive alternative to Distinct Element Modelling (DEM).
Based on the reproducing kernel approximation, the domain of interest is discretized by a set of particles without the employment of a structured mesh, which constitutes an advantage over the finite element method.
Taken together, these mechanical laws in principle permit the determination of the future motions of a set of particles, providing their state of motion is known at some instant, as well as the forces that act between them and upon them from the outside.
PSO is based on the parallel exploration of the search space by a swarm-a set of "particles", the solutions or alternatives.
The outcome of the NichePSO algorithm is a set of particle swarms, each representing a unique solution.
A reaction rate and progress curve methods, based on the measurements for a set of particle radii and a single value of initial substrate concentration, were elaborated.
For this purpose, a series of simulations are carried out on a set of particle assemblies with different diameters and aspect ratios.
The first method, MSD-Bayes, discriminates a wide range of motion models--including diffusion, directed motion, anomalous and confined diffusion--based on mean- square displacement analysis of a set of particle trajectories, while the second method, HMM-Bayes, identifies dynamic switching between diffusive and directed motion along individual trajectories using hidden Markov models.
