Research Day 2018

Join us for the Institute for Advanced Computational Science's third annual Research Day.  Presentations will be made by our 2017 IACS Junior Researcher Award Winners Alena Aksenova (Linguistics), Bento Goncalves (Ecology & Evolution), Maria Barrios Sazo (Physics & Astronomy) and Rathish Das (Computer Science) in addition to a poster session.  Lunch will be provided for all attendees.  Registration is required to attend. 

POSTER SUBMISSIONS

Damage Accumulation during Cumulative Bombardments in Tungsten containing Free Surfaces and Grain Boundaries by Yang Zhang, Materials Science

Castro, Maestro, and the AMReX Astrophysics Suite by Michgael Zingale 

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

Subregular Complexity Across Speech and Sign by Jonathan Rawski, Linguistics

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

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

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

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

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

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

Computational Models of Morphological Copying by Hossep Dolatian, Linguistics

Understanding Polarization Asymmetry in PbTiO3/SrRuO3 Superlattices by Simon Divilov, Physics & Astronomy

Improving DFT Calculations of Water with Machine Learning by Sebastian Dick

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

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

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

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

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

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

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