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Entropy Statistics and Information Theory

2007
Entropy measures provide important tools to indicate variety in distributions at particular moments in time (e.g., market shares) and to analyse evolutionary processes over time (e.g., technical change). Importantly, entropy statistics are suitable to decomposition analysis, which renders the measure preferable to alternatives like the Herfindahl index
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Entropie und Information

1990
1948 sah Shannon sich vor das Problem gestellt, den Informationsgehalt einer Nachricht zu definieren. John von Neumann, mit dem er daruber sprach, gab ihm folgenden Rat: „Du solltest es Entropie nennen, und zwar aus zwei Grunden. Erstens weil deine Ungewisheitsfunktion mit dieser Bezeichnung in der statistischen Mechanik benutzt wird und also schon ...
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Information Entropy

2020
Francisco Torrens, Gloria Castellano
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A review on the dynamic-mechanical behaviors of high-entropy alloys

Progress in Materials Science, 2023
Bin Xiao
exaly  

High-entropy ceramics: Review of principles, production and applications

Materials Science and Engineering Reports, 2021
Masayoshi Fuji, Kaveh Edalati
exaly  

Irreversible entropy production: From classical to quantum

Reviews of Modern Physics, 2021
Gabriel T Landi, Mauro Paternostro
exaly  

High-entropy ceramics

Nature Reviews Materials, 2020
Corey Oses   +2 more
exaly  

Engineering relaxors by entropy for high energy storage performance

Nature Energy, 2023
Bingbing yangbb, Hou-Bing Huang, Hao Pan
exaly  

Entropy and Information

2018
The greatest American scientist of the period between the late nineteenth and early twentieth century was Willard Gibbs (1839–1903). Born in New Haven, Connecticut, he belonged to an old Yankee family that, since the seventeenth century, had produced distinguished clergymen and academics. After earning a Ph.D.
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