Deterministic and Nondeterministic Particle Motion with Interaction Mechanisms
Cameron McNamee (1, 2), Renee Reijo Pera (1) ((1) McLaughlin, Research Institute, (2) Department of Mathematics, California Institute of, Technology)

TL;DR
This paper introduces deterministic and nondeterministic particle system models with three interaction mechanisms, providing a versatile framework applicable across biology, chemistry, and physics, supported by adaptable software tools.
Contribution
It presents a novel combination of particle models and interaction mechanisms, along with software for easy implementation and experimentation.
Findings
Models capture complex interactions in multi-body systems.
Framework applicable across multiple scientific disciplines.
Software facilitates rapid testing and adaptation.
Abstract
Studying systems where many individual bodies in motion interact with one another is a complex and interesting area. Simple mechanisms that may be determined for biological, chemical, or physical reasons can lead to astonishingly complex results that require a further understanding of the moving bodies. With the increasing interaction between computation and various scientific areas, it has become more useful, feasible, and important to create models for these systems. Here, we present two families of models, deterministic and nondeterministic, along with three distinct and realistic interaction mechanisms. These are combined in a unique way to provide the groundwork for particle system models across multiple disciplines. This work has applications that range from biology to chemistry and physics. In addition to describing the motivations and math behind all the models, software is…
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Taxonomy
TopicsBacteriophages and microbial interactions · Hemoglobin structure and function · Plant nutrient uptake and metabolism
