Self-learning Data Foundation for Scientific AI

Annmary Justine, Sergey Serebryakov, Cong Xu, Aalap Tripathy, Suparna Bhattacharya, Paolo Faraboschi, Martin Foltin. Self-learning Data Foundation for Scientific AI. In Douglas B. Kothe, Al Geist, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon, editors, Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23-25, 2022, Revised Selected Papers. Volume 1690 of Communications in Computer and Information Science, pages 20-37, Springer, 2022. [doi]

@inproceedings{JustineSXTBFF22,
  title = {Self-learning Data Foundation for Scientific AI},
  author = {Annmary Justine and Sergey Serebryakov and Cong Xu and Aalap Tripathy and Suparna Bhattacharya and Paolo Faraboschi and Martin Foltin},
  year = {2022},
  doi = {10.1007/978-3-031-23606-8_2},
  url = {https://doi.org/10.1007/978-3-031-23606-8_2},
  researchr = {https://researchr.org/publication/JustineSXTBFF22},
  cites = {0},
  citedby = {0},
  pages = {20-37},
  booktitle = {Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual Event, August 23-25, 2022, Revised Selected Papers},
  editor = {Douglas B. Kothe and Al Geist and Swaroop Pophale and Hong Liu and Suzanne Parete-Koon},
  volume = {1690},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-031-23606-8},
}