Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This chapter addresses the reader who wishes to explore the theory and practice of time reversal, and to obtain an overview of the concepts, definitions, and applications of time reversal methods. Having no natural sense of negative time flow, we must resort to our imagination to describe what happens to physical phenomena, notably the behavior of waves in space and time, when time is reversed. The meaning of time reversal in mechanics and wave propagation is discussed in general terms, and the nature of one‐dimensional causal and acausal electromagnetic waves is explained by means of computer visualizations. The concept of the time reversal mirror as an active transmitter of time‐reversed incident fields is demonstrated and extended to two‐ and three‐dimensional scenarios. The principles of radiating and scattering source reconstruction in both open and closed ergodic structures are introduced and illustrated by means of typical modeling examples. Classical and algorithmic formulations of time reversal in terms of Green's functions lead to an interpretation of time reversal focusing in space and time as a correlation process. Superresolution as a consequence of multiple scattering or multipath propagation is demonstrated. A selected list of references containing seminal papers, books, reviews, and applications of time reversal in different areas of acoustics, electromagnetics, and optics concludes the chapter. The references provide in‐depth coverage of the fundamental concepts presented in this chapter and will guide the reader toward application‐specific extensions of the theory and numerical models for advanced researchers and practitioners of time reversal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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 it