Flux-limited non-equilibrium electron energy transport in warm dense gold
Bibliographic record
Abstract
Summary form only given. Between solid and plasma lies the so-called Warm Dense Matter regime where temperature of the state is comparable to Fermi energy and the ions are strongly coupled. Accordingly the physics of Warm Dense Matter is dominated by the complex interplay of electronic excitation, electron degeneracy, and strong ion-ion correlation. Understanding the behavior of Warm Dense Matter thus offers an opportunity to uncover the convergence of condensed matter and plasma physics. Earlier experiments have led to development of theoretical models for electron energy relaxation, dielectric function and lattice stability [1–5]. In this paper, we will present results of our new study on non-equilibrium electron energy transport, a process that is pertinent to not only ultrafast excitation of solids but also carrier dynamics in ultrafast electronics. In our experiment, an abrupt change in energy transport has been observed in femtosecond-laser heated gold when the absorbed laser flux exceeds ∼7×1012W/cm2. Below this value, the absorbed flux is carried by ballistic transport of non-thermal electrons produced in interband excitation. Above this value, energy transport appears to include ballistic transport by non-thermal electrons and heat diffusion by thermalized hot electrons. The ballistic component is limited to a flux of ∼7×1012W/cm2. This yields a unique benchmark for comparison with theory on non-equilibrium electron transport.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".