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Add citations and update dataaset url
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marcosfelt committed Jun 8, 2023
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1 change: 0 additions & 1 deletion .lightning
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cluster_id: litng-ai-03
name: multitask
47 changes: 47 additions & 0 deletions CITATION.cff
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cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Felton"
given-names: "Kobi"
orcid: "https://orcid.org/0000-0002-3616-4766"
- family-names: "Wigh"
given-names: "Daniel"
orcid: "https://orcid.org/0000-0002-0494-643X"
title: "multitask"
version: 0.1.0
# doi: 10.5281/zenodo.1234
url: "https://github.com/sustainable-processes/multitask"
preferred-citation:
type: article
authors:
- family-names: "Taylor"
given-names: "Connor"
orcid: "https://orcid.org/0000-0002-4002-5937"
- family-names: "Felton"
given-names: "Kobi"
orcid: "https://orcid.org/0000-0002-3616-4766"
- family-names: "Wigh"
given-names: "Daniel"
orcid: "https://orcid.org/0000-0002-0494-643X"
- family-names: "Jeraal"
given-names: "Mohammed"
- family-names: "Grainger"
given-names: "Rachel"
orcid: "https://orcid.org/0000-0002-3944-0201"
- family-names: "Chessari"
given-names: "Gianni"
orcid: "https://orcid.org/0000-0002-8151-7778"
- family-names: "Johnson"
given-names: "Christopher"
- family-names: "Lapkin"
given-names: "Alexei"
orcid: https://orcid.org/0000-0001-7621-0889"
doi: "10.1021/acscentsci.3c00050"
journal: "ACS Central Science"
month: 4
start: 957 # First page number
end: 968 # Last page number
title: "Accelerated Chemical Reaction Optimization Using Multi-Task Learning"
issue: 5
volume: 9
year: 2023
21 changes: 20 additions & 1 deletion README.md
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[![](https://img.shields.io/badge/Weights_&_Biases-FFCC33?style=for-the-badge&logo=WeightsAndBiases&logoColor=black)](https://wandb.ai/ceb-sre/multitask/)


Optimizing reactions using multitask Bayesian optimization.
Optimizing reactions using multitask Bayesian optimization. Based on the paper [Accelerated Chemical Reaction Optimization Using Multi-Task Learning](https://doi.org/10.1021/acscentsci.3c00050).

## Setup

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* Put final code for pipelines in `multitask`, and add the code to pipelines as described in the previous section.
* [Typer](https://typer.tiangolo.com/tutorial/first-steps/) is great for turning a python function into a command line script. It's already installed, so you might as well use it.

## Citing

If you find this project useful, we encourage you to

* Star this repository :star:
* Cite our [paper](https://doi.org/10.1021/acscentsci.3c00050).
```
@article{Taylor2023,
doi = {10.1021/acscentsci.3c00050},
url = {https://doi.org/10.1021/acscentsci.3c00050},
year = {2023},
month = apr,
publisher = {American Chemical Society ({ACS})},
volume = {9},
number = {5},
pages = {957--968},
author = {Connor J. Taylor and Kobi C. Felton and Daniel Wigh and Mohammed I. Jeraal and Rachel Grainger and Gianni Chessari and Christopher N. Johnson and Alexei A. Lapkin},
title = {Accelerated Chemical Reaction Optimization Using Multi-Task Learning},
journal = {{ACS} Central Science}
}
```
2 changes: 1 addition & 1 deletion multitask/etl/etl_reizman_suzuki.py
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Expand Up @@ -432,7 +432,7 @@ def specify_outcome(case, reaction: Reaction, row: pd.Series):
def add_provenance(reaction: Reaction):
provenance = reaction.provenance
provenance.doi = "110.1039/C6RE00153J"
provenance.publication_url = "http://doi.org/10.1039/C6RE00153J."
provenance.publication_url = "http://doi.org/10.1039/C6RE00153J"
creator = provenance.record_created.person
creator.username = "marcosfelt"
creator.name = "Kobi Felton"
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