Question: Consider a bead spring model for self avoiding polymer ( spherical particles connected with Hooken springs ) . Consider the equilibrium length of the spring
Consider a bead spring model for self avoiding polymer spherical particles connected with Hooken springs Consider the equilibrium length of the spring as l and the radius of the bead as sigma The potential of the spring is given by UkBT krl and between beads is given by VkBT sigma rsigma r where kBT After setting up the equation of motion numerically solve it and calculate the end to end distance the distance of the first bead and the last bead as a function of time for and bead systems. Also, plot the equilibrium endtoend distance as a function of the number of beads. When you make the initial configuration keep at least one spring not equal to the equilibrium length.
Instructions
Numerically solve for the forces from the potential and solve the Newtons equation of motion using Euler method.
Solve this with a code in python.Consider a bead spring model for self avoiding polymer spherical particles connected with
Hooken springs Consider the equilibrium length of the spring as and the radius of the
bead as The potential of the spring is given by and between
beads is given by where After setting up the
equation of motion numerically solve it and calculate the end to end distance the distance
of the first bead and the last bead as a function of time for and bead systems. Also,
plot the equilibrium endtoend distance as a function of the number of beads. When you
make the initial configuration keep at least one spring not equal to the equilibrium length.
Write a code in python to solve for the forces from the potential and solve the Newtons equation of motion
using Euler method.
Contents of the file to be uploaded: Program file source file with comments. A pdf with
your results, graph This shows how good you fit is discussion and commands for compiling
your program.
Contents of the file to be uploaded: Program file source file with comments. A pdf with your results, graph This shows how good you fit is discussion and commands for compiling your program.
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