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  1. 4 giorni fa · Kullback–Leibler divergence. In mathematical statistics, the Kullback–Leibler ( KL) divergence (also called relative entropy and I-divergence [1] ), denoted , is a type of statistical distance: a measure of how one probability distribution P is different from a second, reference probability distribution Q. [2] [3] A simple interpretation of ...

  2. 2 giorni fa · High-entropy alloys (HEAs) are alloys that are formed by mixing equal or relatively large proportions of (usually) five or more elements. Prior to the synthesis of these substances, typical metal alloys comprised one or two major components with smaller amounts of other elements.

  3. 1 giorno fa · Klaus Jaffe Information and Energy are related. The Second Law of Thermodynamics applies to changes in energy and heat, but it does not apply to information dynamics. Advances in Infodynamics have made it clear that Total Information contains Useful Information and Noise, both of which may be gained or lost in irreversible processes.

  4. 1 giorno fa · "The Bekenstein-Hawking entropy formula, which describes the thermodynamics of black holes, was discovered in the 1970s," Vijay Balasubramanian, co-author of the paper, told Phys.org.

  5. 2 giorni fa · By using random matrix theory, we show that in this case, the entanglement entropy obeys the volume law known for systems with short-ranged hopping but described either by a mixed state or a pure strongly excited state of the Hamiltonian. We also give a streamlined proof of Page's formula for the entanglement entropy of the black hole radiation ...

  6. 1 giorno fa · To tackle the predicament of the traditional turn-off mechanism, exploring an activated turn-on system remains an intriguing and crucial objective in biosensing fields. Herein, a dark DNA Ag nanocluster (NC) with hairpin-structured DNA containing a six-base cytosine loop (6C loop) as a template is atypically synthesized. Intriguingly, the dark DNA Ag NCs can be lit to display strong red ...

  7. 1 giorno fa · Tunable and stable memristors based on single-crystalline entropy-stabilized oxide films grown on epitaxial bottom electrodes can be used to create energy-efficient reservoir computing networks.

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