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Part 1: Document Description
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Citation |
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Title: |
Multitask machine learning collective variable for 5D models and alanine dipeptide |
Identification Number: |
doi:10.7910/DVN/XLD7VD |
Distributor: |
Harvard Dataverse |
Date of Distribution: |
2021-12-30 |
Version: |
1 |
Bibliographic Citation: |
Sun, Lixin, 2021, "Multitask machine learning collective variable for 5D models and alanine dipeptide", https://doi.org/10.7910/DVN/XLD7VD, Harvard Dataverse, V1 |
Citation |
|
Title: |
Multitask machine learning collective variable for 5D models and alanine dipeptide |
Subtitle: |
Datasets, simulation and training scripts |
Identification Number: |
doi:10.7910/DVN/XLD7VD |
Authoring Entity: |
Sun, Lixin (Harvard University) |
Distributor: |
Harvard Dataverse |
Access Authority: |
Sun, Lixin |
Depositor: |
Sun, Lixin |
Date of Deposit: |
2021-02-06 |
Holdings Information: |
https://doi.org/10.7910/DVN/XLD7VD |
Study Scope |
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Keywords: |
Physics, Physics |
Abstract: |
Simulation scripts, training scripts, and training/test sets for 5D Mueller-Brown and three-hole model published in the paper. |
Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
Other Study Description Materials |
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0.0-1.6.json |
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2DHistogram.py |
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3.1-0.0.json |
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3.1-1.6.json |
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3.1-3.1.json |
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3.1-4.7.json |
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3.9-0.8.json |
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3.9-2.4.json |
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4.7-0.0.json |
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4.7-1.6.json |
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4.7-3.1.json |
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5.5-2.4.json |
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5.5-3.9.json |
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autoencoder.yaml |
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autoencoder.yaml |
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autoencoder.yaml |
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basin0.json |
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basin1.json |
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basin1.json |
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basin2.json |
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basin3.json |
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check.sh |
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data.npz |
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dist.yaml |
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dist.yaml |
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dist.yaml |
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Histogram.py |
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init_config.dat |
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initial.npz |
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label.yaml |
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loop.sh |
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md.dat |
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md.dat |
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md.dat |
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md.energy |
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md.energy |
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md.energy |
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md-only.json |
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md-plumed.dat |
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md.png |
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mploop.py |
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multitask.yaml |
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multitask.yaml |
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new_plot.py |
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oneway.json |
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pe.yaml |
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preprocess.py |
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produce.py |
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