tag:joss.theoj.org,2005:/papers/reviewed_by/@TahiriNadia
Journal of Open Source Software
2022-07-07T15:15:57Z
Journal of Open Source Software
https://joss.theoj.org
tag:joss.theoj.org,2005:Paper/3303
2022-07-07T15:15:57Z
2022-07-08T00:00:38Z
Fast k-medoids Clustering in Rust and Python
accepted
0.2.0
2022-01-24 11:18:20 UTC
75
2022-07-07 15:15:57 UTC
7
2022
4183
Erich
Schubert
TU Dortmund University, Informatik VIII, 44221 Dortmund, Germany
0000-0001-9143-4880
Lars
Lenssen
TU Dortmund University, Informatik VIII, 44221 Dortmund, Germany
0000-0003-0037-0418
10.21105/joss.04183
https://doi.org/10.5281/zenodo.6802320
https://joss.theoj.org/papers/10.21105/joss.04183.pdf
k-Medoids, Clustering, Rust, Python
tag:joss.theoj.org,2005:Paper/3014
2022-07-05T20:37:08Z
2022-07-06T00:01:04Z
UnlockNN: Uncertainty quantification for neural network models of chemical systems
accepted
v2.0.2
2021-09-03 16:12:59 UTC
75
2022-07-05 20:37:08 UTC
7
2022
3700
Alexander
Moriarty
Department of Materials, Imperial College London, London, UK
0000-0001-7525-1419
Kazuki
Morita
Department of Materials, Imperial College London, London, UK
0000-0002-2558-6963
Keith
T.
Butler
SciML, STFC Scientific Computing Division, Rutherford Appleton Laboratories, UK
0000-0001-5432-5597
Aron
Walsh
Department of Materials, Imperial College London, London, UK, Department of Materials Science and Engineering, Yonsei University, Seoul, Korea
0000-0001-5460-7033
10.21105/joss.03700
https://doi.org/10.5281/zenodo.6799685
Python, PureBasic
https://joss.theoj.org/papers/10.21105/joss.03700.pdf
graph neural networks, uncertainty quantification, machine learning, material science, chemistry