Julian day

Related lectures (24)

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Explores exponential families, Bernoulli distributions, parameter estimation, and maximum entropy distributions in statistical modeling.

Explores coincidence lattice, homophase interfaces, twin boundaries, stacking faults, and segregation at domain boundaries.

Explores the Central Limit Theorem and its statistical implications in random variables.

Covers the exponential family of distributions and the Ising model, explaining magnetism through dipoles and spins.

Explores symmetric tilt grain boundaries, twist grain boundaries, and the atomistic view of tilt grain boundaries.

Explores NISQ devices and IBM Q, covering noisy quantum circuits, qubit technologies, and quantum algorithm development.

Explores digitization in neural interfaces, covering MOS models, CMOS amplifiers, noise factors, DC offset, and ADC basics.

Explains classical orbital parameters, spacecraft's state vector, and Gregorian vs. Julian days.

Discusses the circuit block diagram and design requirements for neural amplifiers.