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Peer-Reviewed Journals
Prasad, S., Banicescu, I., Barnas, M., Gimenez, D., & Lumsdaine, A. (2017). Keeping up with Technology: Teaching Parallel, Distributed and High-Performance Computing. Journal of Parallel and Distributed Computing. 105, 1-3.

Chen, S., Sun, S., Li, C., Pittman, C., Lacy, T., Hu, S., & Gwaltney, S. R. (2017). Molecular Dynamics Simulations of the Graphene Sheet Aggregation in Dodecane. Journal of Nanoparticle Research. 19, 195. DOI:10.1007/s11051-017-3893-8.

Chen, S., Lv, Q., Wang, Z., Li, C., Pittman, C., Gwaltney, S. R., Sun, S., & Hu, S. (2017). Effect of Graphene Dispersion on the Equilibrium Structure and Deformation of Graphene/Eicosane Composites as Surrogates for Graphene/Polyethylene Composites: A Molecular Dynamics Simulation. Journal of Materials Science. 52(10), 5672–5685. DOI:10.1007/s10853-017-0802-6.

Srivastava, S., & Banicescu, I. (2017). Robust Resource Allocations through Performance Modeling with Stochastic Process Algebra. Concurrency and Computation: Practice and Experience. 29(7), n/a-n/a.

Mun, S., Bowman, A., Nouranian, S., Gwaltney, S. R., Baskes, M. I., & Horstemeyer, M. (2017). Interatomic Potential for Hydrocarbons on the Basis of the Modified Embedded-Atom Method with Bond Order (MEAM-BO). The Journal of Physical Chemistry A. ACS Publications. 121(7), 1502–1524. DOI:10.1021/acs.jpca.6b11343. [Document]

Peer-Reviewed Conference Papers
Iannucci, S., Kholidy, H., Ghimire, A., Jia, R., Abdelwahed, S., & Banicescu, I. (2017). A Comparison of Graph-Based Synthetic Data Generators for Benchmarking Next-Generation Intrusion Detection Systems. Cluster Computing (CLUSTER), 2017 IEEE International Conference on. Honolulu, HI. 278-289. DOI:10.1109/CLUSTER.2017.54.

Boulmier, A., Banicescu, I., Ciorba, F. M., & Abdennadher, A. (2017). An Autonomic Approach for the Selection of Robust Dynamic Loop Scheduling Techniques. Paralled and Distributed Computing (ISPDC), 2017 16th International Symposium on. Innsbruck, Austria. 9-17. DOI:10.1109/ISPDC.2017.9.

Hoffeins, F., Ciorba, F. M., & Banicescu, I. (2017). Towards the Reproducibility of Using DLS Techniques in Scientific Applications. Parallel and Distributed Computing (ISPDC), 2017 16th International Symposium on. Innsbruck, Austria. 18-25. DOI:10.1109/ISPDC.2017.13.

Hoffeins, F., Ciorba, F. M., & Banicescu, I. (2017). Examining the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientific Applications. Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017 IEEE International. Lake Buena Vista, FL. 1579-1587.