Energy Relaxation and Dynamics in the Correlated Metal <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"> <mml:mrow> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>Sr</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>2</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>RuO</mml:mi> </mml:mrow> <mml:mrow> <mml:mn>4</mml:mn> </mml:mrow> </mml:msub> </mml:mrow> </mml:mrow> </mml:math> via Terahertz Two-Dimensional Coherent Spectroscopy
Bibliographic record
Abstract
Discriminating the effects of different kinds of scattering in strongly interacting metals is crucial in their understanding. While momentum or current relaxation can be readily probed via dc resistivity or linear terahertz (THz) spectroscopy, discriminating other kinds of scattering can be more challenging. In this Letter, we argue that the nonlinear optical technique of THz 2D coherent spectroscopy measures the energy relaxation rate in strongly interacting metals. We apply the technique to the Fermi liquid Sr_{2}RuO_{4} and observe two energy relaxation channels: a fast process (∼0.1 THz) that we interpret as energy loss to the phonon system and a much slower relaxation (≲1 GHz) that we interpret as the relaxation of nonequilibrium phonons. Both rates are at least an order of magnitude slower than the momentum relaxation rate. We show how energy relaxation provides a unique diagnostic into certain kinds of scattering and among other aspects allows a measure of the dimensionless electron-phonon coupling constant. Our observations reveal the versatility of nonlinear THz spectroscopy to measure the energy relaxation dynamics in correlated metals and also highlights the need for improved theoretical understanding of such processes in interacting metals.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.007 |
| Meta-epidemiology (broad) | 0.002 | 0.007 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.787 | 0.004 |
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; both teacher heads agree on what is shown here.
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".