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  2. Excluded volume - Wikipedia

    en.wikipedia.org/wiki/Excluded_volume

    The excluded volume of a hard sphere is eight times its volume—however, for a two-molecule system, this volume is distributed among the two particles, giving the conventional result of four times the volume; [2] this is an important quantity in the Van der Waals equation of state. The calculation of the excluded volume for particles with non ...

  3. Cross-entropy - Wikipedia

    en.wikipedia.org/wiki/Cross-entropy

    This is also known as the log loss (or logarithmic loss [4] or logistic loss); [5] the terms "log loss" and "cross-entropy loss" are used interchangeably. [ 6 ] More specifically, consider a binary regression model which can be used to classify observations into two possible classes (often simply labelled 0 {\displaystyle 0} and 1 ...

  4. Entropy (information theory) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(information_theory)

    The first 128 symbols of the Fibonacci sequence has an entropy of approximately 7 bits/symbol, but the sequence can be expressed using a formula [F(n) = F(n−1) + F(n−2) for n = 3, 4, 5, ..., F(1) =1, F(2) = 1] and this formula has a much lower entropy and applies to any length of the Fibonacci sequence.

  5. Entropy (order and disorder) - Wikipedia

    en.wikipedia.org/wiki/Entropy_(order_and_disorder)

    The relationship between entropy, order, and disorder in the Boltzmann equation is so clear among physicists that according to the views of thermodynamic ecologists Sven Jorgensen and Yuri Svirezhev, "it is obvious that entropy is a measure of order or, most likely, disorder in the system."

  6. Residual property (physics) - Wikipedia

    en.wikipedia.org/wiki/Residual_property_(physics)

    This discovery lead to the concept of residual entropy scaling, which has spurred a large amount of research, up until the modern day, in which various approaches for modelling transport coefficients as functions of the residual entropy have been explored. [2] Residual entropy scaling is still very much an area of active research.

  7. Orders of magnitude (entropy) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude_(entropy)

    9.5699 × 10 −24 J⋅K −1: Entropy equivalent of one bit of information, equal to k times ln(2) [1] 10 −23: 1.381 × 10 −23 J⋅K −1: Boltzmann constant, entropy equivalent of one nat of information. 10 1: 5.74 J⋅K −1: Standard entropy of 1 mole of graphite [2] 10 33: ≈ 10 35 J⋅K −1: Entropy of the Sun (given as ≈ 10 42 ...

  8. Quantum fluctuation - Wikipedia

    en.wikipedia.org/wiki/Quantum_fluctuation

    The uncertainty principle states the uncertainty in energy and time can be related by [4] , where ⁠ 1 / 2 ⁠ ħ ≈ 5.272 86 × 10 −35 J⋅s. This means that pairs of virtual particles with energy Δ E {\displaystyle \Delta E} and lifetime shorter than Δ t {\displaystyle \Delta t} are continually created and annihilated in empty space.

  9. Landauer's principle - Wikipedia

    en.wikipedia.org/wiki/Landauer's_principle

    where is the Boltzmann constant and is the temperature in Kelvin. [2] At room temperature, the Landauer limit represents an energy of approximately 0.018 eV (2.9 × 10 −21 J). As of 2012, modern computers use about a billion times as much energy per operation. [3] [4]