Brownian motion

Vak 18092020 Bhilai

== Gravitation as binding force between Molecules to explain Brownian Motion in Multi Molecule Theory using Dynamic Universe Model

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Nanobiotechnology is a wonderful multidisciplinary budding science have its roots in four main branches of science viz, Particle Physics, Nano Biology, and Micro chemistry and Engineering. This is Nano particle Physics portion which is forming the basis of the Nanobiotechnology. Until today the behaviour of fluid particles in Brownian motion are explained using Single molecule theory. But many questions remain for the last 400 years or so, how this Brownian motion happens? Why collisions happen between the Molecules? How the momentum is generated in the starting place? What are the are the trajectories of individual particles or molecules? The Physics and the calculations behind the force and individual velocities of molecules with relevant theoretical analysis is proposed in this paper. For the Multi Molecule Theory (MMT) Subbarao Simulations (SSMMT) were developed in the last two months. Here we will discuss the basic theory, Excel implementation, simulation results of using, and four the attached Excel files which confirmed the proposition that the Gravitation is the binding force between molecules on different cases. Earlier the concepts of this paper were published as five separate papers, here we present the whole work as a single paper so that referencing will be easy.

1.a. Introduction: Brownian motion

Brownian motion is well known. This can be seen in Liquids, gases easily and can be seen in solids with high end electron microscopes. For example, lets observe a single colloid with an optical microscope. Observe a 2 μm latex particle, which will undergo a constant motion in water within seconds of placing it in water in all the three dimensions. This random motion is called Brownian Motion. The sizes of the particles have a key role to play, the same type of motion is observed for colloids of 1 nm in diameter as well. This length corresponds to the size of single molecules, biomolecules such as DNA, RNA, proteins. They should therefore experience this type of motions. See very good explanations in the paper ‘Life at low Reynolds number’ by Purcell [1]. Here in this paper we will try to develop some equations for molecular forces, Brownian motions, coefficient of diffusion etc., using this Multi Molecule Theory instead of the age old ‘single Molecule theory’.

Nanobiotechnology is a new budding branch of science. Here in this section of Sklogwiki we try to attempt the explanation of Brownian Motion using the concepts of Dynamic Universe Model. We will try to modify SITA simulation software for using in this platform and call it as Subbarao Simulations. In section 4.1 the formation of excel-sheet was shown. And we will discuss salient formation points for of final Results. We did not assume any boundaries for molecules or nanoparticle movemen == ts.

1.b. Introduction to Our work: ==

We did 1500 iterations for two different types data files in these simulations as we discussed with same the staring data. In the second type earth gravity was also considered along with the gravity between individual molecules and we did 7000 iterations. In a third test we transferred all the data into another old Laptop and conducted 2015 iterations just to confirm the data and results with earth gravity. For each simulation test of 500 iterations, the calculation time taken is approx. 4 to 5 hours. In the three cases Viscosity of the (muddy) water plus all the additives is increased from 1 to 4 times higher. that means intermolecular distances were reduced to 25% of original distances. Other two types are considered further at present. We took a microsecond time step between iterations. Though this is 1000 times high observed movements of molecules (which are of about 10 nano seconds), we considered this to reduce the number of iterations to view faster results. When we considered earth gravitation, we got better displacements. Section 5.2.1. gives details about various Excel file attachments with this paper. Further details can be obtained the author.