has been cited by the following article(s):
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[1]
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Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules
Journal of Cheminformatics,
2022
DOI:10.1186/s13321-022-00652-1
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[2]
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Flux: Overcoming scheduling challenges for exascale workflows
Future Generation Computer Systems,
2020
DOI:10.1016/j.future.2020.04.006
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[3]
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4D street view: a video-based visualization method
PeerJ Computer Science,
2020
DOI:10.7717/peerj-cs.305
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[4]
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In situ adaptive timestep control and visualization based on the spatio-temporal variations of the simulation results
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization,
2019
DOI:10.1145/3364228.3364230
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[5]
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In situ adaptive timestep control and visualization based on the spatio-temporal variations of the simulation results
Proceedings of the Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization - ISAV '19,
2019
DOI:10.1145/3364228.3364230
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[6]
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Flux: Overcoming Scheduling Challenges for Exascale Workflows
2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS),
2018
DOI:10.1109/WORKS.2018.00007
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