Phase transitions are strongly constrained by spatial dimension. In conventional one-dimensional systems with short-range ...

Phase transitions, shifts between different states of matter, are widely explored physical phenomena. So far, these transitions have primarily been studied in three-dimensional (3D) and ...

Training deep neural networks (DNNs) involves navigating a high-dimensional, non-convex loss landscape, yet much of the phenomenology of this process remains poorly understood. Three observations ...

Researchers have achieved a remarkable result: capturing and studying phase changes in quantum hardware, which hold hold promise for next-generation technologies like quantum computing and ...

Contrary to conventional wisdom, so-called order parameters that distinguish symmetry-governed phases of matter can have topological structure. Symmetry constitutes a fundamental concept in physics.

An experiment uncovers the role played by gravity in Ostwald ripening, a spontaneous thermodynamic process responsible for many effects such as the recrystallization of ice cream. Figure 1: The growth ...

"The moment I hear a sound, sweetness spreads in my mouth." "The moment I see a vivid blue, the scent of soil after rain ...

PCMs leverage the principle of latent heat to function effectively. During the phase transition process, a PCM absorbs a substantial amount of latent heat from its environment, cooling the area as it ...