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Posters 2018


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Below is a list of posters created in 2018 by IACS faculty and students who have used our computer clusters for their research. For anyone using the clusters for their research, we ask that you include the following sentence. You are also free to use the above logo.

Results displayed on this poster were obtained using the high-performance computing system 
at the Institute for Advanced Computational Science at Stony Brook University. 


  Research Day 2018

1. The Role of Grain Boundaries in Radiation Damage Accumulation in Tungsten by Yang Zhang, Materials Science

2. Castro, Maestro, and the AMReX Astrophysics Suite by Michael Zingale 

3. Investigating Grain Boundary Segregation Strengthening in Nanocrystalline Al-Mg with Molecular Dynamics by Wenbo Wang, Materials Science

4. Subregular Complexity Across Speech and Sign by Jonathan Rawski, Linguistics

5. The White Dwarf Convective Urca Process with Low Mach Hydrodynamics by Donald Willcox, Physics & Astronomy

6. OpenSHMEM: A Communications Library for Performance and Resilience by Delafrouz Mirfenderski, Abdullah Shahneous Bari and Wenbin Lu, Applied Mathematics & Statistics

7. Adaptive Numerical Solution of the Dirac Equation in MADNESS by Joel Anderson, Applied Mathematics & Statistics

8. MADNESS: Linear Response by Bryan Sundahl, Applied Mathematics & Statistics

9. Large Eddy Simulations of Premixed Low Temperature Combustion Engines Using High Performance Computing  by Aimilios Sofianopoulos

10. A HPC-aware programming model for Big Data analysis by Hamidreza Asaadi, Computer Science, Debneil Saha Roy, Applied Mathematic & Statistics and Barbara Chapman, Computer Science & Applied Mathemathics & Statistics

11. Computational Models of Morphological Copying by Hossep Dolatian, Linguistics

12. Understanding Polarization Asymmetry in PbTiO 3/SrRuO Superlattices  by Simon Divilov, Physics & Astronomy

13. Improving DFT Calculations of Water with Machine Learning by Sebastian Dick

14. Multilevel Incomplete LU-Factorization Preconditioner for Predominantly Symmetric Systems by Aditi Ghai, Applied Mathematics & Statistics

15. The Weibull Renewal Process Model. We Know Lobsters Smell Good, But Do We Know How They Smell? by Logan Becker, Neurobiology and Behavior 

16. Learning from Linguistically Structured Constraint Spaces by Jonathan Rawski, Linguistics, Jeffrey Heinz (Linguistics, SBU), Adam Jardine (Rutgers), and Jane Chandlee (Haverford)

17. Fathoming the depths: trainability conditions for Deep Neural Networks by Piotr Sokol, Neurobiology and Behavior

18. CFD Simulations of a New Low Temperature Combustion Mode Using a Biofuel by Mozhgan Rahimi Boldaji, Mechanical Engineering

19. Computer-aided design of novel inhibitors of fatty acid binding protein by Lauren Prentis, Biochemistry and Structural Biology

20. Orthogonal approach to computational bimolecular screening: Application to glycoprotein E of Zika Virus by Stephen Telehany