Two-dimensional phase field crystal simulation of laser-induced recrystallization: A mechanism of grain-boundary phonon scattering and softening
Bibliographic record
Abstract
In this article we present, as far as we know, the first numerical investigation of phonon relaxation in two-dimensional polycrystalline systems simulated with a multitimescale phase field crystal model. We first measure the phonon spectrum averaged over different polycrystalline configurations using thermal fluctuations to capture the rapid processes. We find two main peaks in the spectrum attributable, respectively, to dampening and softening of different wavelength phonons. In particular, it is shown that polycrystals have a phonon caging regime, a signature of amorphous materials. Subsequently, we report on a mechanism of grain-boundary melting resulting from the accumulation of phonon scattering. We find this behavior exhibited in both rapid temperature annealing of polycrystalline samples and from input of kinetic energy representative of rapid laser heating or hot-rolling. In the latter case, we theorize a rate relation between the maximally achieved liquid fraction as a function of the initial kinetic energy, defining a metastable activation energy that can be measured in experiments. We expect that the scattering mechanisms investigated in this work underpin grain-boundary melting and recrystallization processes encountered in rapid solidification experiments.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".