SC19 Exhibit Materials

High Performance Research Computing showcased research from Texas A&M University during the International Conference for High Performance Computing, Networking, Storage and Analysis (SC19), November 17-22, 2019, with posters and presentations at two kiosk TV monitors.

Come visit us at the Booth #1909.


Strategies for Extending Cyber Training to Young Adults: Engaging the Future Cyberinfrastructure Workforce
Texas A&M High Performance Research Computing, College Station, TX

CiSE-ProS: Cyberinfrastructure Security Education for Professionals and Students
Dhruva Chakravorty, Rick McMullen, Daniel Ragsdale, Jinsil Seo, and Jeffery Froyd

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa Karimi 1,3, Di Wu 1, Zhangyang Wang 2, Yang Shen 1,3
1. Department of Electrical and Computer Engineering
2. Department of Computer Science and Engineering
3. TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, USA.

Texas A&M HPRC Use in the Vibration Control and Electromechanics Lab
MD Shujan Ali, Jongin Yang, Ahmad Dawadeh, Joseph Oh and Alan Palazzolo
Department of Mechanical Engineering, Texas A&M University

Light scattering and downstream applications with high-performance computing capabilities
Ping Yang, Masanori Saito, Jiachen Ding, Tong Ren, Yi Wang, Adam Bell, Boyan Gu, James Coy, and Jeffrey Mast
Department of Atmospheric Sciences, Texas A&M University

Computational simulation of distributed acoustic sensing (DAS) approach to diagnose multiple-stage fractured well performance
Julia Pakhotina and Ding Zhu
Department of Petroleum Engineering, Texas A&M University

Learning to Optimize in Swarms
Yue Cao 1, Tianlong Chen 2, Zhangyang Wang 2 and Yang Shen 1
1. Department of Electrical and Computer Engineering, and
2. Department of Computer Science and Engineering,
Texas A&M University, College Station, TX, United States.

Application of High Performance Research Computing to Parametric Design and Analysis of Electric Machines
Matthew Johnson** , Matthew C. Gardner*, Bryton Praslicka*, and Hamid A. Toliyat*
* Advanced Electric Machines & Power Electronics Lab, Texas A&M University
** Army Research Laboratory, U.S. Army Combat Capabilities Development Command

Mesoscale Modeling of High Burn-up Structure (HBS) Formation and Evolution in Metallic Fuels
M. Gomaa Abdoelatef1 , F. Badry1 , Karim Ahmed1 , Sudipta Biswas2 , Andrea Jokisaari 2 , Daniel Schwen 2, Yongfeng Zhang2, Cody Permann2
1. Nuclear Engineering Department, Texas A&M University, College Station, TX, USA.
2. Fuel Modeling and Simulation Department, Idaho National Laboratory, Idaho Falls, ID, USA.

CC* SWEETER: South West Expertise in Expanding Training Education and Research
Dhruva K. Chakravorty, Tim Cockerill, JoAnn Browning, Emily Hunt, Diana V. Dugas, Suxia Cui, Nirav Merchant, Blake Joyce, and Smriti Bhatt


Simulations of the Tropical Cyclone Climatology and Interannual Variability Using a High-Resolution Tropical Channel Model
Dan Fu1 , Ping Chang1,2, Christina M. Patricola3 , R. Saravanan2
1. Department of Oceanography, Texas A&M University
2. Department of Atmospheric Sciences, Texas A&M University
3. Climate and Ecosystem Sciences Division, LBNL, Berkeley, California

Synergy between Theory and Experiments
Gladysz and Hall Groups
Laboratory for Molecular Simulations, Texas A&M University

The Molecular Basis of dsDNA Sensing Through the cGAS-STING Pathway
Pingwei Li
Department of Biochemistry and Biophysics, Texas A&M University


Fathering a child? Don't drink.

Can we forecast a weather disaster—years before it happens?

Save the spinal cord

A&M entomologists create tools to combat disease-spreading mosquitos

World’s largest shake table reveals how earthquakes damage wood-framed buildings