OpenAI’s reasoning model o3-mini-high was used to carry out an exact analytic study of onedimensional ferrimagnetic site- and bond-decorated q-state Potts models. We demonstrate that the finitetemperature ultranarrow phase crossover (UNPC), driven by a hidden “half-ice, half-fire” state recently discovered in the case (Ising model), persists for . We identify unique novel features for , including the dome structure in the field-temperature phase diagram and for large a secondary high-temperature UNPC to the fully disordered paramagnetic state. Moreover, while the crossover temperature in the site-decorated Potts model is independent of the spin interaction between the backbone spins and thus remains unchanged as the UNPC quickly approaches a genuine transition – the crossover width is narrowed exponentially – by enhancing (referred to as Type-I UNPC), in the bond-decorated Potts model with depends on and quickly shifts toward a finite temperature as increases (referred to as Type-II UNPC). These novel results establish a versatile framework for engineering controlled fast state-flipping switches in low-dimensional systems. Our nine-level AI-contribution rating assigns AI the meritorious status of AI-co-led discovery in this work.

生成讲解博客的中文版本

生成AI智能校验的中文版本