Off-resonant light-induced topological phase transition and thermoelectric transport in semi-Dirac materials
Bibliographic record
Abstract
We show that a semi-Dirac (SD) system with an inversion symmetry breaking mass exhibits a topological phase transition when irradiated with off-resonant light. Using Floquet theory, we derive the band structure, Chern numbers, phase diagram, and we show that as the light intensity is swept at fixed mass, the SD system undergoes a normal-Chern-normal insulator transition. Along the phase boundaries, we observe single semi-Dirac-cone (SSDC) semimetal states in which one SD cone is gapless and the other is gapped. The nontrivial Berry curvature distribution Ω ( k ) ≠ − Ω ( − k ) generates an orbital magnetization M and anomalous Nernst ( α x y ) and thermal Hall ( κ x y ) conductivities. We show that M remains constant as the Fermi level E F scans the insulating gap, but it changes linearly with it in the Chern insulator (CI) phase, as expected. In the normal insulator phase, we find that α x y exhibits a dip-peak profile that is reversed in the CI phase. We also find that switching the light's circular polarization from left to right induces a sign change in M , α x y , and κ x y , regardless of the topological phase, thereby allowing us to reverse the direction of flow of the transverse charge and heat currents. Further, we evaluate the components of the charge ( σ a a ), thermoelectric ( α a a ), and thermal ( κ a a ) conductivity tensors ( a = x , y ) and examine the effect of light on them. With a linear dispersion along the y -direction, we find that α y y and κ y y are significantly larger than α x x and κ x x , respectively, due to the much larger squared Dirac velocity v y 2 compared to v x 2 .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".