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Authors
Rainier Barrett (0000-0002-5728-9074), Maghesree Chakraborty (0000-0001-5706-3027), Dilnoza B. Amirkulova (0000-0001-6961-3081), Heta A. Gandhi (0000-0002-9465-3840), Geemi P. Wellawatte (0000-0002-3772-6927), Andrew D. White (0000-0002-6647-3965)
Citation
Barrett et al., (2020). HOOMD-TF: GPU-Accelerated, Online Machine Learning in the HOOMD-blue Molecular Dynamics Engine. Journal of Open Source Software, 5(51), 2367, https://doi.org/10.21105/joss.02367
@article{Barrett2020,
doi = {10.21105/joss.02367},
url = {https://doi.org/10.21105/joss.02367},
year = {2020},
publisher = {The Open Journal},
volume = {5},
number = {51},
pages = {2367},
author = {Rainier Barrett and Maghesree Chakraborty and Dilnoza B. Amirkulova and Heta A. Gandhi and Geemi P. Wellawatte and Andrew D. White},
title = {HOOMD-TF: GPU-Accelerated, Online Machine Learning in the HOOMD-blue Molecular Dynamics Engine},
journal = {Journal of Open Source Software}
}
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molecular dynamics machine learning
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