(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrates the dense areas as lighter color with a contour-plot.

<p>The points stretch from the dense region corresponding to the spin glass phase (left top) to the dense region corresponding to the ferromagnetic phase (right bottom), representing the mixed phase region. (b): The dense areas are separated by removing the data less than threshold = 0.5 in th...

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Bibliographic Details
Main Author:	Ali Talebi (7164203) (author)
Other Authors:	Mahsa Bagherikalhor (14295216) (author), Behrouz Askari (22772361) (author), G. Reza Jafari (7757456) (author)
Published:	2025
Subjects:	Biophysics Biotechnology Science Policy Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified system exists whether shows strong agreement computationally efficient approach machine learning algorithm local field experienced studied phase transitions single replica spin phase detection based single replica local fields based methods algorithm offers phase diagram phase detection intrinsic phase xlink "> theoretical solutions powerful indicators novel method method used including ferromagnetic glass phases
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(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrates the dense areas as lighter color with a contour-plot.

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