Brain activities often follow an exponential family of distributions. The exponential distribution is the maximum entropy distribution of continuous random variables in the presence of a mean. The ...

A collaborative research team has developed a novel method for forming high-performance high-entropy alloy (HEA) films on various surfaces without using expensive alloy targets. This was achieved ...

In their quest for more-efficient catalysts and better battery components, scientists are exploring a new category of materials known as high-entropy oxides. These oxides, made from five or more ...

In cell division, chromosomes change folds and assume different shapes during the cell cycle. We combined a maximum entropy approach with polymer physics to model an ensemble of 3D chromosomal ...

A method to perform cellular deconvolution at a fine-scale (i.e. single-cell or neighborhood level), using a generalization of maximum entropy that is also an efficient convex optimization problem.

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Proteins in cells are destroyed over a broad range of rates. However, the relative amounts of proteins with any given half-life are not clearly understood. We have improved upon a classical isotopic ...

Abstract: The principle of maximum entropy, developed more than six decades ago, provides a systematic approach to modeling inference, and data analysis grounded in the principles of information ...

Background: Wave intensity analysis is useful for analyzing coronary hemodynamics. Much of its clinical application involves the identification of waves indicated by peaks in the wave intensity and ...