Citing PACE

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Acknowledgements and Growing!

How to Cite PACE

Please don’t forget to cite or acknowledge us if your research benefited from PACE managed resources.

Sample text for Acknowledgements:

“This research was supported in part through research cyberinfrastructure resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA.”

If Hive Cluster was used for your research, then please use this sample text for Acknowledgement:

“This work used the Hive cluster, which is supported by the National Science Foundation under grant number 1828187.  This research was supported in part through research cyberinfrastrucutre resources and services provided by the Partnership for an Advanced Computing Environment (PACE) at the Georgia Institute of Technology, Atlanta, Georgia, USA.”

For citations, see this link for the BibTeX reference: http://www.pace.gatech.edu/sites/default/files/PACE.bib

Sample publications resulting from use of PACE resources

  1. Chen, W., Park, S., Tanneau, M. and Van Hentenryck, P., 2022. Learning optimization proxies for large-scale security-constrained economic dispatch. Electric Power Systems Research, 213, p.108566. https://doi.org/10.1016/j.epsr.2022.108566
  2. Dutreix, M., Huh, J. and Coogan, S., 2022. Abstraction-based synthesis for stochastic systems with omega-regular objectives. Nonlinear Analysis: Hybrid Systems, 45, p.101204. https://doi.org/10.1016/j.nahs.2022.101204
  3. Taheri, B., Molzahn, D.K. and Grijalva, S., 2023. Improving distribution system resilience by undergrounding lines and deploying mobile generators. Electric Power Systems Research, 214, p.108804. https://doi.org/10.1016/j.epsr.2022.108804
  4. Leamy, M.J., Autrusson, T.B., Staszewski, W.J., Uhl, T. and Packo, P., 2014, March. Local computational strategies for predicting wave propagation in nonlinear media. In Health Monitoring of Structural and Biological Systems 2014 (Vol. 9064, pp. 438-452). SPIE. https://doi.org/10.1117/12.2045041
  5. Mittal, V.K. and McDonald, J.F., 2012. R-SAP: a multi-threading computational pipeline for the characterization of high-throughput RNA-sequencing data. Nucleic acids research, 40(9), pp.e67-e67. https://doi.org/10.1093/nar/gks047
  6. Zhang, Z., Zhou, M., Niu, K. and Abdallah, C., 2021. The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset. https://doi.org/10.48550/arXiv.2108.03508 
  7. Robel, A. A., Pegler S.S., Catania G, Felikson D, Simkins LM, (2022). Ambiguous stability of glaciers at bed peaks. Journal of Glaciology 1-8, https://doi.org/10.1017/jog.2022.31
  8. Robel, A. A. and Wilson, E. and Seroussi, H., Layered seawater intrusion and melt under grounded ice, The Cryosphere, Volume 16, Issue 2, page 451–469, (Feb 2022) https://doi.org/10.5194/tc-16-451-2022
  9. Alexander A Robel, Sam Pegler, Ginny Anne Catania, Denis Felikson, Lauren M Simkins, Ambiguous stability of glaciers at bed peaks, pre-print for Geophysical Research Letters, https://www.essoar.org/pdfjs/10.1002/essoar.10507832.1
  10. Kezhou Lu, Jie He, Boniface Fosu, Maria A.A. Rugenstein, Mechanisms of Fast Walker Circulation Responses to CO2 Forcing, Earth and Space Science Open Archive 2021. https://doi.org/10.1002/essoar.10508519.1
  11. Boniface Fosu, Jie He, Giovanni Liguori, Equatorial Pacific Warming Attenuated by SST Warming Patterns in the Tropical Atlantic and Indian Oceans, Geophysical Research Letters, Volume 47, Issue 18, (Sept 2020 )https://doi.org/10.1029/2020GL088231
  12. Fosu, B., He, J. & Wang, SY.S. The influence of wintertime SST variability in the Western North Pacific on ENSO diversity. Clim Dyn 54, 3641–3654 (2020). https://doi.org/10.1007/s00382-020-05193-7
  13. Haobing Liu, Daejin Kim, Simulating the uncertain environmental impact of freight truck shifting programs, Atmospheric Environment, Volume 214 (2019) https://doi.org/10.1016/j.atmosenv.2019.116847
  14. Haobing Liu, Michael  O. Rodgers, Randall Guensler, Impact of road grade on vehicle speed-acceleration distribution, emissions and dispersion modeling on freeways, Transportation Research Part C: Emerging Technologies, Volume 69 (2019) https://doi.org/10.1016/j.trd.2019.01.028
  15. Bracco, A., Choi, J., Kurian, J. and Chang, P., 2018. Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. Ocean Modelling, 122, pp.13-25. https://doi.org/10.1016/j.ocemod.2017.12.008 
  16. Haobing Liu, Hanyan Li, Michael  O. Rodgers, Randall Guensler, Development of road grade data using the United States geological survey digital elevation model,  Transportation Research Part C: Emerging Technologies, Volume 92 (2018) https://doi.org/10.1016/j.atmosenv.2019.116847
  17. Lv, W. et al. “Understanding Divergent Thermal Conductivity in Single Polythiophene Chains Using Green-Kubo Modal Analysis and Sonification.” The journal of physical chemistry. A 121 30 (2017): 5586-5596 . DOI:10.1021/acs.jpca.7b05099
  18. W. Lv, A. Henry, Direct Calculation of Modal Contributions to Thermal Conductivity via Green-Kubo Modal Analysis: Crystalline and Amorphous Silicon, New Journal of Physics, 18, 013028 (2016). https://iopscience.iop.org/article/10.1088/1367-2630/18/1/013028/pdf
  19. Mittal, V.K. and McDonald, J.F., 2015. Integrated sequence and expression analysis of ovarian cancer structural variants underscores the importance of gene fusion regulation. BMC medical genomics, 8(1), pp.1-12. https://doi.org/10.1186/s12920-015-0118-9