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Professor NanoScience @UCDtWIGfF1YcKUbAS3SWuYkA@youtube.com

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Hello, I am Tony Low, a Professor at the University of Minne


15:10
Why are Maxwell equations written in terms of curl and divergence? An intuitive framework
12:42
What makes a vector field? An intuitive understanding of its constituents.
05:30
Derive Coulomb's law from Maxwell equations... [Concepts Challenge]
06:41
Derive Biot Savart's law from Maxwell equations... [Concepts Challenge]
07:43
Divergence of curl is zero! An intuitive explanation
11:57
The curl of gradient is zero! Two intuitive explanations
29:06
Discovering the relativistic Dirac equation with Paul Dirac and graphene
24:04
Quantum orbital angular momentum
18:33
Feynman introduction to classical angular motion and phenomena
09:57
How an electron binds two protons, the hydrogen molecule ion
23:39
The map of semiconductor materials
08:41
Deriving Kramers Kronig relation and Hilbert transform pair
11:11
Response of linear, causal, time invariant system: Convolution, impulse response, Fourier transform
16:22
Physics of the nanoscale transistor
12:50
Spatial vs momentum translation operators in quantum mechanics
11:55
What is keeping Moore’s law alive?
12:28
Solving the quantum harmonic oscillator with ladder operators
18:05
How to trap ions for quantum computing?
14:54
Two and three qubits quantum gates
13:44
Single qubit and its logic gates
09:39
Mapping the qubit state onto the Bloch Sphere
29:27
Magnetization switching through spin transfer torque
18:39
Magnetization dynamics and the Landau-Lifshitz-Gilbert equation
18:35
Theory of the tunneling magnetoresistance
15:55
Spintronics memories devices, how are information stored?
13:26
Two qubit state: Separable vs Entangled vs Bell states
06:56
Fourier vs Heisenberg uncertainty principle
10:56
Deriving the Heisenberg uncertainty principle
15:06
Most intuitive understanding of the Maxwell equations
09:44
The intuition behind Stokes Curl theorem
06:28
The intuition behind Gauss divergence theorem
16:45
From lumped elements to EM waves, Complete solutions to the transmission lines
20:44
What 3 experiments really tell us about quantum superposition
09:25
Deriving the Dirac Hamiltonian in Graphene
07:03
Seeing the fine structure constant in graphene with light
08:18
Ballistic electronic transport in graphene devices
06:45
Electrostatics of graphene and quantum capacitance
08:55
Calculating electron and hole densities in graphene
18:31
Calculating the band structure of graphene
12:38
Slater-Koster tight binding method for band structure calculation
11:48
How electricity actually works at the nanoscale?
14:18
Linear combination of atomic orbitals (tight-binding method) for electrons in crystalline solids
18:54
Discovery of electromagnetic induction through the lens of Michael Faraday
17:27
Schrodinger equation solutions to the hydrogen atom
11:44
Spherical harmonics for Schrodinger equation
11:43
Deriving the Bloch's theorem
06:49
The Kronig Penney model and the emergence of energy gaps in periodic potentials
12:12
Basics of crystal structure and terminologies, we make it easier to understand in 2D
09:36
Scattering states and the propagation matrix method
08:04
Probability current, the continuity equation and current operator
10:26
How the beautiful unification of electricity and magnetism begins...
08:05
Confined quantum states in finite square well potential
11:07
Free quantum electron wave versus Gaussian packet
06:01
Solving Schrodinger equation for an infinite potential well
08:23
Time independent Schrodinger equation and stationary states
04:07
What is linear vector space?
12:33
Special matrices, adjoint, normal, unitary, hermitian
08:20
Vectors representation and basis set
04:50
Outer product vs inner product, and matrix representation of operator
03:45
Inner product vs dot product