6 papers
Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmark
Minhui Zhu, Minyang Tian, Xiaocheng Yang +61
While large language models (LLMs) with reasoning capabilities are progressing rapidly on high-school math competitions and coding, can they reason effectively through complex, ope…
Universality of the Mott Transition
Jinchao Zhao, Peizhi Mai, Gaurav Tenkila +1
We demonstrate that the Mott transition exhibits universal scaling as a consequence of the breaking of a symmetry in momentum space. A direct consequence of this dis…
Twisting the Hubbard model into the Momentum-Mixing Hatsugai-Kohmoto Model
Peizhi Mai, Jinchao Zhao, Gaurav Tenkila +4
The Hubbard model is a standard theoretical tool for studying materials with strong electron-electron interactions, such as the cuprate superconductors. Unfortunately, interaction-…
Triplet Exciton-driven Topological Mott insulator at Finite Temperature
Peizhi Mai
Motivated by experiments in which the quantum anomalous Hall (QAH) charge gap greatly exceeds the Curie temperature, we apply determinantal quantum Monte Carlo to two complementary…
Incipient quantum spin Hall insulator under strong correlations
Peizhi Mai, Jinchao Zhao, Philip W. Phillips
To assess prior mean-field claims that the interacting Kane-Mele model hosts a novel antiferromagnetic (AFM) Chern insulating phase for a wide range of sub-lattice potentials,…
Solving the SU() Orbital Hatsugai-Kohmoto Model
Nico A. Hackner, Peizhi Mai, Philip W. Phillips
We show that the physics of the SU() Hubbard model can be realistically simulated with the recently developed orbital Hatsugai-Kohmoto model. In this approach, the momentum mixi…