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20202025
most citedLearning phase transitions from regression uncertainty: A new regression-based machine learning approach for automated detection of phases of matter

8 citations · 12 across the 8 of their papers we have counts for

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Showing cond-mat.softShow all

2 papers · 1 filter

cond-mat.soft2021★ 2 cited

Scanning-probe and information-concealing machine learning intermediate hexatic phase and critical scaling of solid-hexatic phase transition in deformable particles

Wei-chen Guo, Bao-quan Ai, Liang He

We investigate the two-dimensional melting of deformable polymeric particles with multi-body interactions described by the Voronoi model. We report machine learning evidence for th…

cond-mat.soft2021

Data-driven criterion for the solid-liquid transition of two-dimensional self-propelled colloidal particles far from equilibrium

Wei-chen Guo, Bao-quan Ai, Liang He

We establish an explicit data-driven criterion for identifying the solid-liquid transition of two-dimensional self-propelled colloidal particles in the far from equilibrium paramet…