Custom hardware implementation of the finite-difference time-domain (FDTD) method
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
Finite-Difference Time-Domain (FDTD) Analysis is a very popular method for solving electromagnetic problems. The algorithm is computationally Intensive and simulations can take several days to run on traditional, multiprocessor supercomputer platforms. Reducing the runtime of these simulations, by an order of magnitude or more, would greatly increase the productivity of FDTD users and open new avenues of research. A hardware implementation of a one-dimensional FDTD computational cell is presented, with the goal of accelerating three-dimensional computations by a factor of 10-100 times. A free-space, cavity resonator Is used to successfully verify the FDTD simulation on hardware. Computational speed is very promising and is independent of the number of cells in the simulation. Larger simulations require more hardware. A typical simulation size (100/spl times/100/spl times/100) is hardware prohibitive, so future work will Investigate hardware sharing methods.
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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 | 0.000 |
| 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) | 0.003 | 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