Year |
Citation |
Score |
2018 |
Wang J, Das S, Rai R, Zhou C. Data-driven simulation for fast prediction of pull-up process in bottom-up stereo-lithography Computer-Aided Design. 99: 29-42. DOI: 10.1016/J.Cad.2018.02.002 |
0.33 |
|
2017 |
Ye H, Venketeswaran A, Das S, Zhou C. Investigation of separation force for constrained-surface stereolithography process from mechanics perspective Rapid Prototyping Journal. 23: 696-710. DOI: 10.1108/Rpj-06-2016-0091 |
0.351 |
|
2016 |
Das S, Chakravarty S. Predictive Algorithm for Detection of Microcracks from Macroscale Observables Siam/Asa Journal On Uncertainty Quantification. 4: 660-707. DOI: 10.1137/15M1037275 |
0.336 |
|
2016 |
Das S, Goswami K, Datta BN. Quadratic partial eigenvalue assignment in large-scale stochastic dynamic systems for resilient and economic design Mechanical Systems and Signal Processing. 72: 359-375. DOI: 10.1016/J.Ymssp.2015.10.001 |
0.35 |
|
2015 |
Sovizi J, Das S, Krovi V. Random matrix approach: Toward probabilistic formulation of the manipulator jacobian Journal of Dynamic Systems, Measurement and Control, Transactions of the Asme. 137. DOI: 10.1115/1.4027871 |
0.501 |
|
2015 |
Liravi F, Das S, Zhou C. Separation force analysis and prediction based on cohesive element model for constrained-surface Stereolithography processes Computer-Aided Design. 69: 134-142. DOI: 10.1016/J.Cad.2015.05.002 |
0.373 |
|
2014 |
Das S, Chakravarty S. Reliable prediction of micro-anomalies from macro-observables Proceedings of Spie - the International Society For Optical Engineering. 9064. DOI: 10.1117/12.2045217 |
0.301 |
|
2011 |
Das S, Ghanem R. Stochastic Upscaling for Inelastic Material Behavior from Limited Experimental Data Scopus. 443-468. DOI: 10.1007/978-1-4419-0643-4_12 |
0.589 |
|
2009 |
Ghanem R, Das S. Hybrid Representations of Coupled Nonparametric and Parametric Models for Dynamic Systems Aiaa Journal. 47: 1035-1044. DOI: 10.2514/1.39591 |
0.583 |
|
2009 |
Das S, Ghanem RG. A Bounded Random Matrix Approach for Stochastic Upscaling Multiscale Modeling & Simulation. 8: 296-325. DOI: 10.1137/090747713 |
0.606 |
|
2009 |
Das S, Ghanem R, Finette S. Polynomial chaos representation of spatio-temporal random fields from experimental measurements Journal of Computational Physics. 228: 8726-8751. DOI: 10.1016/J.Jcp.2009.08.025 |
0.571 |
|
2007 |
Das S, Spall JC, Ghanem R. Efficient Monte Carlo computation of fisher information matrix using prior information Performance Metrics For Intelligent Systems (Permis) Workshop. 256-263. DOI: 10.1016/J.Csda.2009.09.018 |
0.583 |
|
2006 |
Das S, Ghanem R, Spall JC. Asymptotic sampling distribution for polynomial chaos representation of data: A maximum entropy and fisher information approach Proceedings of the Ieee Conference On Decision and Control. 4139-4144. DOI: 10.1137/060652105 |
0.58 |
|
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