Objective 3
Open
Nobody has claimed this yet.
- Dominant language
- C++
- Stars
- 1
- Forks
- 2
- Avg merge
- 2d 8h
- Merged PRs (30d)
- 6
Description
We presumably budgeted 1 year for this one, but I don't see that spelled out.
Task:
- Train an analogous model to reference 4 of the proposal, by using DFT-UQ results (model computes atomization energies of organic molecules).
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the proposal's reference 4 and the available DFT-UQ results, then determine what analogous model is expected for atomization energies of organic molecules. Done means training and documenting that model, with the one-year scope and evaluation criteria made explicit.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- cpp
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100