SC18 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 (SC18), November 11-16, 2018, with posters and presentations at two kiosk TV monitors. Come visit us at the Booth #3917.
Posters
Computational Materials Science Laboratory
Dr. Raymundo Arroyave
Kubra Karayagiz, Luke Johnson, Thien Duong, Vahid Attari, Pejman Honarmandi, Tanner Kirk , Woongrak Son, Anjana Talapatra, Yuhao Wang
Material Science & Engineering Department
Texas A&M University
CiSE-ProS: Cyberinfrastructure Security Education for Professionals and Students
Dhruva Chakravorty, Rick McMullen, Jinsil Seo, Dilma Da Silva, and Daniel Ragsdale
The Texas A&M University Computational Materials Science Summer School (CMS^3): CyberTraining Program (NSF-OAC 1829799)
Ahmed-Amine Benzerga 1,2,3, Lisa Perez 4, Honggao Liu 5, Ankit Srivastava 2,3, Xiofeng Quian 2, Darren Hartl 1,3, Aitor Cruzado 1,3, Raymundo Arróyave 2,3
1 Department of Aerospace Engineering
2 Department of Materials Science & Eng.
3 Center for intelligent Multifunctional Materials and Structures (CiMMs)
4 Department of Chemistry and Laboratory for Molecular Simulations
5 High Performance Research Computing, Texas A&M Univ., College Station, TX
Strategies for Extending Cyber Training to Young Adults: Engaging the Future Cyberinfrastructure Workforce
Texas A&M High Performance Research Computing, College Station, Texas 77843
Bayesian Multi-Domain Learning for Cancer Subtype Discovery
Ehsan Hajireamezanali * Siamak Dadaneh * Alireza Karbalayghareh * Mingyuan Zhou ** Xiaoning Qian *
* Department of Electrical and Computer Engineering, Texas A&M University
** McCombs School of Business, University of Texas at Austin
Computational Study of Interfacial Phenomena for Battery Applications
Fernando A. Soto a and Perla B. Balbuena a,b,c
a Department of Chemical Engineering, Texas A&M University, College Station, TX 77843
b Department of Materials Science and Engineering, Texas A&M University, College Station, TX 77843
c Department of Chemistry, Texas A&M University, College Station, TX 77843
SOLVING COMPUTATIONALLY INTENSIVE INVERSE PROBLEMS IN ELASTICITY IN 3D
Ping Luo 2, Baik Jin Kim 1, Yue Mei 3, Sevan Goenezen 1
1 Department of Mechanical Engineering, Texas A&M University,
2 High Performance Research Computing, Texas A&M University,
3 Zienkiewicz Centre for Computational Engineering, Swansea University, UK
CFD Validation Studies Applied to Nuclear Reactors Systems
P.I. Yassin A. Hassan, Professor
Texas A&M University
Computational Fluid Dynamics (CFD) of an Air in Oil (Wet) Annular Seal
Jing Yang, Luis San Andreas
TEES Turbomachinery Laboratory
J. Mike Walker '66 Department of Mechanical Engineering
Texas A&M University
DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks
Mostafa K Arimi 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.
Interconnected Cost Function Networks (iCFN): an efficient exact algorithm for multistate protein design
Mostafa K Arimi 1,2, Yang Shen 1,2
1 Department of Electrical and Computer Engineering,
2 TEES-AgriLife Center for Bioinformatics and Genomic Systems Engineering, Texas A&M University, USA.
Deep 𝒌-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu 1, Yue Wang 2, Zhenyu Wu 1, Zhangyang Wang 1, Ashok Veeraraghavan 2, Yingyan Lin 2
1 Texas A&M University, USA
2 Rice University, USA
Computing Resources at High Performance Research Computing
Texas A&M University
Slides
Using Machine Learning Based Surrogate Models, Nonlinear Finite Element Analysis and Optimization Techniques to Design Road Safety Hardware
Akram Abu-Odeh
Texas A&M Transportation Institute
Simulation of Powder Spreading Process for Binder Jetting Additive Manufacturing
Guanxiong Miao, Wenchao Du, Zhijian (ZJ) Pei, Chao Ma
College of Engineering
Texas A&M University
Demkowicz Group @ADA cluster, HPRC, TAMU
Michael Demkowicz
Dept of Materials Science and Engineering,
Texas A&M University
Parallel Finite Element Simulations of Dynamic Earthquake Rupture and Seismic Wave Propagation
Benchun Duan and Dunyu Liu
Department of Geology and Geophysics
Texas A&M University
Fall, 2018
MOLECULAR JUMP ROPE: MULTIRINGED METAL-COMPLEXES THAT REALLY KNOW HOW TO JUMP
Joshi, H.; Kharel, S.; Ehnbom, A.; Skopek, Hess, G. D.; Fiedler, T.; Hampel, F.; Bhuvanesh, N.; Gladysz, J. A. J. Am. Chem. Soc. 2018, 140, 8463
Computational Forensics for Airplane Bombing with a Case Study of Daallo Airlines Flight 159 in February, 2016
Goong Chen
Department of Mathematics
and Institute for Quantum Science and Engineering
Texas A&M University, College Station, TX 77843
CFD Validation Studies Applied to Nuclear Reactors Systems
P.I. Yassin A. Hassan, Professor, Texas A&M University
Periodically generated Vortex Rings
Iman Borazjani
Department of Mechanical Engineering
Texas A&M University
CFD Simulations of flow over an inclined plate undergoing a bio-inspired traveling wave oscillation (Undulation) Scientific computing and biofluidics lab
Iman Borazjani
Department of Mechanical Engineering
Texas A&M University
Energy-Efficient Recurrent Spiking Neural Processor with Unsupervised and Supervised Spike-Timing-Dependent-Plasticity
Yu Liu, Peng Li
Dept. of Electrical & Computer Engineering
Texas A&M University
Shedding new light on random chromosome segregation
Qi Zheng
Department of Epidemiology and Biostatistics
Texas A&M University
Deep 𝒌-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
Junru Wu 1, Yue Wang 2, Zhenyu Wu 1, Zhangyang Wang 1, Ashok Veeraraghavan 2, Yingyan Lin 2
1 Texas A&M University, USA
2 Rice University, USA
Other Videos
President’s Excellence Fund T3 and X-Grants 2018 State of the University Video