Arun K. Subramaniyan, Ph.D. - Publications
Affiliations: | 2008 | Aeronautics and Astronautics | Purdue University, West Lafayette, IN, United States |
Area:
Aerospace Engineering, Mechanical Engineering, Materials Science EngineeringYear | Citation | Score | |||
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2017 | Gel A, Shahnam M, Subramaniyan AK. Quantifying uncertainty of a reacting multiphase flow in a bench-scale fluidized bed gasifier: A Bayesian approach Powder Technology. 311: 484-495. DOI: 10.1016/J.Powtec.2017.01.034 | 0.336 | |||
2017 | Ananthasayanam B, Loghin A, Subramaniyan AK. An efficient framework for rapid life assessment in industrial applications: Fatigue crack growth Engineering Fracture Mechanics. 181: 7-28. DOI: 10.1016/J.Engfracmech.2017.06.016 | 0.321 | |||
2016 | Gel A, Shahnam M, Musser J, Subramaniyan AK, Dietiker J. Nonintrusive Uncertainty Quantification of Computational Fluid Dynamics Simulations of a Bench-Scale Fluidized-Bed Gasifier Industrial & Engineering Chemistry Research. 55: 12477-12490. DOI: 10.1021/Acs.Iecr.6B02506 | 0.347 | |||
2016 | Loghin A, Ananthasayanam B, LeMonds J, Subramaniyan A, Viana F. Fatigue Crack Growth Life Assessment for Industrial Applications using Re-meshing and Bayesian Hybrid Techniques Procedia Structural Integrity. 2: 2487-2494. DOI: 10.1016/J.Prostr.2016.06.311 | 0.307 | |||
2015 | Srivastava A, Subramaniyan AK, Wang L. Hybrid Bayesian solution to NASA Langley Research Center multidisciplinary uncertainty quantification challenge Journal of Aerospace Information Systems. 12: 114-139. DOI: 10.2514/1.I010266 | 0.306 | |||
2010 | Subramaniyan AK, Sun CT. Temperature dependent effective embedded atom method potential for steady state high temperature applications Journal of Computational and Theoretical Nanoscience. 7: 176-181. DOI: 10.1166/Jctn.2010.1343 | 0.31 | |||
2009 | Subramaniyan AK, Sun CT. Nanoscale design of Ni-Al shape memory alloys. Nanotechnology. 20: 085703. PMID 19417464 DOI: 10.1088/0957-4484/20/8/085703 | 0.431 | |||
2008 | Subramaniyan AK, Sun CT. Engineering molecular mechanics: an efficient static high temperature molecular simulation technique. Nanotechnology. 19: 285706. PMID 21828740 DOI: 10.1088/0957-4484/19/28/285706 | 0.461 | |||
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