In the field of science, a “law” is a statement concerning some behavior or phenomenon in nature that has been repeatedly observed, and its conclusion is strongly supported by rigorous ...

I show you how ice cream can transfer both ways when two flavors touch. I explain the difference between mixing and stirring ...

Fraunhofer IPMS announces Q‑Dice, a high‑performance Quantum Random Number Generator (QRNG) that generates randomness based on quantum vacuum fluctuations. The system delivers true random numbers at ...

Python package for calculating various information measures, including entropy, mutual information, transfer entropy, and more, with support for both discrete and continuous variables. Transfer ...

Abstract: Transfer entropy (TE) is an information theoretic measure that reveals the directional flow of information between processes, providing valuable insights for a wide range of real-world ...

TU Wien scientists confirmed that deleting quantum information always costs energy, validating Landauer’s principle. Their atom cloud experiment shows information loss is tied to entropy increase.

There has been a wave of posts and publications about causal inference and how important it is in the world of finance. From causal factor investing in stock markets, to applications in business and ...

Abstract: With the continuous development of topological quantum materials, traditional mobility spectrum analysis methods can no longer meet the practical measurement needs. Based on this, starting ...

The nature of particle and entropy flow between two superfluids is often understood in terms of reversible flow carried by an entropy-free, macroscopic wavefunction. While this wavefunction is ...

Names can be both liberating and confining. When mankind gives something a name, we mark it with a label that helps us discuss our shared environment and experience. At the same time, a label can ...

This manuscript presents a useful analysis of allosteric communication in the CFTR protein using a coarse-grained dynamic model and characterized the role of disease-causing mutations. The results and ...

An information theoretic reduction of auto-regressive modeling called the Reduced Auto-Regressive (RAR) modeling is applied to several multivariate time series as a method to detect the relationships ...