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Modeling and Simulating with Electromagnetism: 

Modeling and Simulating with Electromagnetism Tim Thirion COMP 259 Physically-based Modeling, Simulation and Animation April 13, 2006

Before We Begin …: 

Before We Begin … A question: If I place a proton at the North pole and another at the South pole, what is the approximate ratio of the strength of the electrostatic force to the gravitational? 1 10¹ 10² 10³

Solution: 

Solution The gravitational force is The Coulomb force is The ratio is Relevant constants:

Why is gravity so weak?: 

Why is gravity so weak? The Four Physical Forces Strong Nuclear (binds nucleons) Weak Nuclear (some forms of nuclear decay) Electromagnetic Gravitational The first three have been shown to be indistinguishable in certain (Big Bang-like) conditions “Uniting” the four forces is the greatest outstanding problem in physics (String Theory, etc.)

Outline: 

Outline Why should a computer scientist care about electromagnetism (EM)? The Fundamentals: Statics and Dynamics Visualizing Vector Fields using LIC Application: Modeling the Magnetosphere FEMs, Materials Science and Nanoscience Questions and (Hopefully) Answers

Orders of Magnitude: 

Orders of Magnitude Electromagnetism is the prevailing force on a huge range of physical scale … On the smallest scales, EM dominates where nuclear forces drop off. Scale: ~10 pm (average atom radius) – 10 nm Must use QEM Fundamental particles, origin of the universe Molecule formation (chemistry) Smallest feature of Intel’s chips (65 nm, as of 2006)

Orders of Magnitude: 

Orders of Magnitude From 1 nm = 10 Å to 1 cm, we can begin modeling nanomolecules, organic molecules, and microdevices. 1 nm is the radius of a carbon nanotube 2 nm is the diameter of a DNA helix Nanoscience and materials science simulation would occur mostly at this scale Electrostatic effects are prevalent

Orders of Magnitude: 

Orders of Magnitude On the scale of everyday experience, we again see multiple applications 1 cm – 1,000 km = 1 Mm Approximations of the interaction of light and matter (rendering) Modeling of solids, crystals, x-ray diffraction simulations On the scale of the earth, geo* applications The ionosphere and magnetosphere Lightning and weather systems

And Beyond…: 

And Beyond… At higher scales, gravity dominates. However, EM still plays a role as light… Star formation (QM, gravity, fluids, and light propagation) Galaxial modeling, supernovae (models needed to predict release of energy and particles) Cosmic background radiation models And so on…

Electrostatics: Coulomb’s Law: 

Electrostatics: Coulomb’s Law Coulomb’s Law gives the force between two charged particles at rest:

Coulomb’s Law: 

Coulomb’s Law The Law of Superposition holds Why doesn’t an electron collide with the positively charged protons in a nucleus? Does an electron act on itself?

Vector Fields: 

Vector Fields Vector fields associate a vector with each point in space. The curl of a vector field gives the circulation within a volume. The divergence of a vector field gives the outward flow from a volume.

Fields: 

Fields All of electromagnetism is concerned with deriving and utilizing the magnetic and electric fields. Both are functions of space and time: As we shall see, they are deeply interconnected. In fact, they are essentially different aspects of the same phenomenon.

Electric Fields: 

Electric Fields What force will a positive “test” charge feel if placed into an electric field? More concisely

Flux: 

Flux Suppose we have a closed surface. In the case of a fluid, we can ask, are we losing or gaining fluid in the enclosed volume? The net outward flow or flux is:

Electric Flux: 

Electric Flux Electric fields do not “flow” because they are not the velocity of anything. We can still compute the flux using E. It turns out that Or

Gauss’ Law: 

Gauss’ Law A result from vector calculus, Gauss’ Theorem, says Using a charge density: Taking the limit as V goes to zero The first of Maxwell’s Equations:

Circulation: 

Circulation As with flux, we can define the amount of circulation present in a field. Draw a closed curve, how quickly does the fluid inside travel around this curve? The circulation is:

Circulation with the Magnetic Field: 

Circulation with the Magnetic Field The circulation of the magnetic field around a closed loop is proportional to the net current flowing through it.

Ampere’s Law: 

Ampere’s Law From vector calculus, Stokes’ Theorem says Apply this, and make the surface infinitesimally small: Differential form of Ampere’s Law:

Ampere’s Law: 

Ampere’s Law This is not fully general. Also must consider electric flux through S: Using techniques from vector calculus, we arrive at the general differential form of Ampere’s Law:

Problem: 

Problem Coulomb’s Law holds for static charge configurations. Moving charges generate magnetic fields. How do magnetic fields affect the motion of charged particles? Coulomb’s Law is no longer the full story …

The Lorentz Force: 

The Lorentz Force The total force on a charged particle due to electric and magnetic fields is Note the presence of the cross product and the dependency on velocity, not acceleration.

Application: 

Application Modeling the dynamics of charged particles immersed in E and B fields. Simply need to balance quantities, and use your favorite integrator with the Lorentz force! See: http://www.levitated.net/p5/chamber/

Circulation of the Electric Field: 

Circulation of the Electric Field Suppose we have a surface S with a curve boundary C, then In the language of vector calculus

Faraday’s Law: 

Faraday’s Law As we did for Gauss’ Law, shrink S to an infinitesimally small surface to get the differential form: Faraday’s Law of Induction:

The Last Equation: 

The Last Equation Recall Gauss’ Law Is there a similar analog for magnetism? That is, can we encapsulate magnetic “charges” in a surface, and measure the magnetic flux?

The Last Equation: 

The Last Equation There is no (as yet observed) magnetic charge or “monopole.” The magnetic field is divergence free, there is no inward or outward flow, to or from a point. The last of Maxwell’s Equations:

The Maxwell Equations: 

The Maxwell Equations Gauss’ Law Faraday’s Law of Induction Analog of Gauss’ Law for Magnetism Ampere’s Law with Maxwell’s Extension

Visualizing Vector Fields: 

Visualizing Vector Fields There are many techniques available for determining and rendering field lines. We can trace particles through the field, use stream lines, or use icons. That is, place a relevant symbol along regular sample points (arrows, ellipsoids, etc.) Some methods use Gaussian linear solvers, conjugate gradient methods, spot noise, reaction diffusion textures, etc. One of the most interesting is Line Integral Convolution.

Line Integral Convolution: 

Line Integral Convolution “LIC emulates the effect of a strong wind blowing a fine sand.” Idea: For each sample in the vector field Compute a stream line starting at a cell, moving forward and backward a determined distance Use the points covered to index a white noise texture Convolve the texture points to determine the corresponding pixel color for the cell.

Visual LIC: 

Visual LIC LIC improves on DDA (digital differential analyzer). DDA used straight line approximations in the vector field.

Visual LIC: 

Visual LIC To generate streamlines:

LIC: 

LIC The final convolution step: k(w) is the convolution kernel.

LIC Results: 

LIC Results

Modeling the Magnetosphere: 

Modeling the Magnetosphere Earth’s magnetosphere is caused primarily by two effects: The convection of ionized liquid metals in the Earth’s outer core The solar winds: a vast flow of plasma (a stream of free ions) The strength of earth’s magnetic field decays exponentially; half-life 1400 years, reversals every 250,000 years (500,000 years overdue)

Visualizations: 

Visualizations http://svs.gsfc.nasa/gov/search/Keyword/Magnetosphere.html

Finite Element Methods (FEMs): 

Finite Element Methods (FEMs) As we have seen, FEMs begin with discretization (tetrahedra, cubes, …) Nearly every computational physics problem can be represented by matrices… Highly specialized, dense: “A Finite Element Computation of the Gravitational Radiation emitted by a Point-like object orbiting a Non-rotating Black Hole” “Advanced Finite Element Method for Nano-Resonators” “An Algorithm for Constructing Polynomial Systems Whose Solution Space Characterizes Quantum Circuits”

Computational Materials Science: 

Computational Materials Science Already becoming an important new topic in physical simulation Current topics: Deformation of metals (bouncing metal balls?) Micromagnetic modeling (with mesoscale physics) Phase Field Modeling (applied: solidification) Discovering/Designing effective Hamiltonians Quantum dots, quantum information, superconductors Surfaces and interfaces

Final Thoughts: 

Final Thoughts Electromagnetic phenomena are incredibly diverse. Theory and methods are relatively simple. Phenomena can be incredibly complex. There’s plenty of room at the bottom!

Questions?: 

Questions? thirion@cs.unc.edu

Bibliography: 

Bibliography Classical Electrodynamics, J.D. Jackson, John Wiley & Sons, Inc., 2001 The Feynman Lectures on Physics, R.P. Feynman, R.B. Leighton, and M. Sands, Addison Wesley Publishing Company, Inc., 1963 Fundamentals of Physics, D. Halliday, R. Resnick, J. Walker, John Wiley & Sons, Inc., 2003 A Dynamical Theory of the Electromagnetic Field, J.C. Maxwell, Scottish Academic Press, Ltd., 1982 The Nature of Solids, A. Holden, Dover Publications, Inc., 1965

Bibliography: 

Bibliography Finite Element Method for Electromagnetics, J.L. Volakis, A. Chatterjee, and L.C. Kempel, IEEE Press, 1998 Imaging Vector Fields using Line Integral Convolution, B. Cabral and L. Leedom, Proceedings of ACM SIGGRAPH 1993 Computational Physics Lecture Notes, A. MacKinnon, available on the internet (please e-mail me)

Links: 

Links Center for Theoretical and Computational Materials Science – http://www.ctcms.nist.gov/ TEAL at MIT: http://web.mit.edu/8.02t/www/802TEAL3D/index.html