Efficient Transition State Modeling Using Molecular Mechanics Force Fields for the Everyday Chemist
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
In the field of synthesis, transition state (TS) modeling with molecular mechanics (MM) is very important but far less developed than the MM modeling of energy minima. This chapter provides an overview of current MM-derived techniques used in TS modeling, and discusses its theory, advantages, potential drawbacks, and availability of software packages. MM is usually taught in secondary and postsecondary education as a ball and spring model where atoms feel classical forces between them. The TS modeling approaches are classified into two general groups, namely ground state force field (GSFF) techniques and transition state force field (TSFF) techniques. To further advance the field of TS modeling using MM methods, the authors propose to integrate computational chemistry into organic synthesis laboratories as well as create an environment at the educational level where using software becomes routine and is not feared by those without expertise in the development process.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 it