FAST-Femtosecond-Attosecond Science-Technology: Manipulating Electrons with Lasers
Bibliographic record
Abstract
Advances in modern laser technology allow for the generation of ultrashort (fewcycles) intense (I>10**14 W/cm2) laser pulses. Interaction of such intense pulses with molecules leads to Molecular High Order Harmonic Generation [1], Molecular Above Threshold Ionization [2], through the highly nonlinear nonperturbative response of electrons .The resulting harmonics are in fact the only current source of coherent attosecond (asec) pulses [3]. Since the electron orbit period in the hydrogen atom is 152 asecs, such pulses are the preferred future tools for imaging, visualizing and controlling electron motion in molecules [4]. Numerical solutions of multidimentional molecular Time-Dependent Schroedinger equations (TDSE) coupled to the photon Maxwell equation on multiprocessor parallel supercomputers are the essential mathematical tools for modelling and simulating the generation of asec pulses [5].These asec pulses are then used through molecular TDSE simulations to create Molecular Electron-Wavepackets (MEWP). The generation of MEWP, the study of their intrinsic properties and their manipulation are therefore the source of a new science- Attosecond Science, ie, the ultimate control of electrons in matter.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".