LINEAR SCALING FOR DENSITY FUNCTIONAL CALCULATIONS ON LARGE MOLECULES WITH THE DEFT SOFTWARE PACKAGE
Bibliographic record
Abstract
The new methods implemented within the DeFT density functional software package are outlined. Where appropriate, they are benchmarked against the conventional methods, which are prohibitively expensive for large systems due to their poor scaling with system size. Benchmark calculations on extended glycine polypeptides clearly demonstrate that linear scaling has been achieved for these first principles electronic structure calculations. Within the DeFT software package, a divide-and-conquer approach is instrumental in attaining this goal. The errors introduced by our divide-and-conquer approach are quantified and shown to be insignificant when compared to the inherent error in even the most accurate density functionals presently available. Calculations on molecules within the G2 dataset highlight the overall accuracy of the exchange-correlation functionals, orbital basis sets, auxiliary density fitting basis sets, and grids used within DeFT.
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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 | 0.000 |
| 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) | 0.000 | 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".