MOOC
Advanced statistical physics
Description
This course covers non-equilibrium statistical processes and the treatment of fluctuation dissipation relations by Einstein, Boltzmann and Kubo. Moreover, the fundamentals of Markov processes, stochastic differential and Fokker Planck equations, mesoscopic master equation, etc will be treated in detail. Prior knowledge of statistical physics is highly recommended but not required.
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Lectures in this MOOC (31)
Brownian Motion: Fundamentals and ApplicationsMOOC: Advanced statistical physics
Explores the fundamentals of Brownian motion, including particle positions and distribution functions.
Statistical Mechanics: Velocity and Langevin FormulationMOOC: Advanced statistical physics
Covers the statistical mechanics of velocity and Langevin formulation, discussing the Langevin force and thermal equilibrium.
Statistical Mechanics: Langevin HypothesisMOOC: Advanced statistical physics
Covers the basics of statistical mechanics, focusing on the Langevin hypothesis and its implications.
Stochastic Calculus: Foundations and ApplicationsMOOC: Advanced statistical physics
Explores the foundation of stochastic calculus, emphasizing deterministic and memoryless processes.
Stochastic Processes: Review and PropertiesMOOC: Advanced statistical physics
Covers the review of random variables, probability density functions, variance, and Gaussian processes.
Related concepts (205)
X-ray tube
An X-ray tube is a vacuum tube that converts electrical input power into X-rays. The availability of this controllable source of X-rays created the field of radiography, the imaging of partly opaque objects with penetrating radiation. In contrast to other sources of ionizing radiation, X-rays are only produced as long as the X-ray tube is energized. X-ray tubes are also used in CT scanners, airport luggage scanners, X-ray crystallography, material and structure analysis, and for industrial inspection.
Normal distribution
In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation. The variance of the distribution is . A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.
X-ray generator
An X-ray generator is a device that produces X-rays. Together with an X-ray detector, it is commonly used in a variety of applications including medicine, X-ray fluorescence, electronic assembly inspection, and measurement of material thickness in manufacturing operations. In medical applications, X-ray generators are used by radiographers to acquire x-ray images of the internal structures (e.g., bones) of living organisms, and also in sterilization. An X-ray generator generally contains an X-ray tube to produce the X-rays.
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Related publications (1,000)
A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime
Jean-François Molinari, Sacha Zenon Wattel
Atomistic simulations performed with a family of model potential with tunable hardness have proven to be a great tool for advancing the understanding of wear processes at the asperity level. They have been instrumental in finding a critical length scale, w ...
2024Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels
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Amer Assoc Advancement Science2024Effects of Hyporheic Exchange and Settlement on the Particle Size Distribution of Colloids
David Andrew Barry, Qihao Jiang
Colloid particle size plays an important role in contaminant adsorption and clogging in the hyporheic zone, but it remains unclear how the particle size changes during the transport of colloids. This study investigated the variation of the particle size of ...
New York2024