Resolving the two-dimensional axial next-nearest-neighbor Ising model using transfer matrices

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2021-03-25

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Abstract

Some features of the phase diagram of the two-dimensional axial next-nearest-neighbor Ising model have long been debated. The extended structural correlations and long relaxation times associated with its Kosterlitz-Thouless phase indeed result in analytical and numerical treatments making contradictory predictions. Here, we introduce a numerical transfer matrix approach that bypasses these problems and thus clears up various ambiguities. In particular, we confirm the transition temperatures and the order of the transition to the floating incommensurate phase. Our approach motivates considering transfer matrices for solving long-standing problems in related models.

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10.1103/PhysRevB.103.094441

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Hu, Y, and P Charbonneau (2021). Resolving the two-dimensional axial next-nearest-neighbor Ising model using transfer matrices. Physical Review B, 103(9). p. 094441. 10.1103/PhysRevB.103.094441 Retrieved from https://hdl.handle.net/10161/24984.

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Scholars@Duke

Charbonneau

Patrick Charbonneau

Professor of Chemistry

Professor Charbonneau studies soft matter. His work combines theory and simulation to understand the glass problem, protein crystallization, microphase formation, and colloidal assembly in external fields.


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