| Year |
Citation |
Score |
| 2021 |
Geneva N, Zabaras N. Transformers for modeling physical systems. Neural Networks : the Official Journal of the International Neural Network Society. 146: 272-289. PMID 34915412 DOI: 10.1016/j.neunet.2021.11.022 |
0.758 |
|
| 2020 |
Mo S, Zabaras N, Shi X, Wu J. Integration of Adversarial Autoencoders With Residual Dense Convolutional Networks for Estimation of Non‐Gaussian Hydraulic Conductivities Water Resources Research. 56. DOI: 10.1029/2019Wr026082 |
0.367 |
|
| 2019 |
Schöberl M, Zabaras N, Koutsourelakis PS. Predictive collective variable discovery with deep Bayesian models. The Journal of Chemical Physics. 150: 024109. PMID 30646713 DOI: 10.1063/1.5058063 |
0.388 |
|
| 2019 |
Mo S, Zabaras N, Shi X, Wu J. Deep Autoregressive Neural Networks for High-Dimensional Inverse Problems in Groundwater Contaminant Source Identification Water Resources Research. 55: 3856-3881. DOI: 10.1029/2018Wr024638 |
0.36 |
|
| 2019 |
Mo S, Zhu Y, Zabaras N, Shi X, Wu J. Deep Convolutional Encoder‐Decoder Networks for Uncertainty Quantification of Dynamic Multiphase Flow in Heterogeneous Media Water Resources Research. 55: 703-728. DOI: 10.1029/2018Wr023528 |
0.367 |
|
| 2019 |
Geneva N, Zabaras N. Modeling the dynamics of PDE systems with physics-constrained deep auto-regressive networks Journal of Computational Physics. 403: 109056. DOI: 10.1016/J.Jcp.2019.109056 |
0.352 |
|
| 2019 |
Zhu Y, Zabaras N, Koutsourelakis P, Perdikaris P. Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data Journal of Computational Physics. 394: 56-81. DOI: 10.1016/J.Jcp.2019.05.024 |
0.388 |
|
| 2019 |
Geneva N, Zabaras N. Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks Journal of Computational Physics. 383: 125-147. DOI: 10.1016/J.Jcp.2019.01.021 |
0.349 |
|
| 2019 |
Atkinson S, Zabaras N. Structured Bayesian Gaussian process latent variable model: Applications to data-driven dimensionality reduction and high-dimensional inversion Journal of Computational Physics. 383: 166-195. DOI: 10.1016/J.Jcp.2018.12.037 |
0.446 |
|
| 2018 |
Lee W, Zabaras N. Parallel probabilistic graphical model approach for nonparametric Bayesian inference Journal of Computational Physics. 372: 546-563. DOI: 10.1016/J.Jcp.2018.06.057 |
0.382 |
|
| 2018 |
Zhu Y, Zabaras N. Bayesian deep convolutional encoder–decoder networks for surrogate modeling and uncertainty quantification Journal of Computational Physics. 366: 415-447. DOI: 10.1016/J.Jcp.2018.04.018 |
0.353 |
|
| 2018 |
Chakraborty S, Zabaras N. Efficient data-driven reduced-order models for high-dimensional multiscale dynamical systems Computer Physics Communications. 230: 70-88. DOI: 10.1016/J.Cpc.2018.04.007 |
0.385 |
|
| 2017 |
Katsoulakis M, Zabaras N. Special Issue: Predictive multiscale materials modeling Journal of Computational Physics. 338: 18-20. DOI: 10.1016/J.Jcp.2017.02.045 |
0.311 |
|
| 2017 |
Schöberl M, Zabaras N, Koutsourelakis P. Predictive coarse-graining Journal of Computational Physics. 333: 49-77. DOI: 10.1016/J.Jcp.2016.10.073 |
0.409 |
|
| 2016 |
Tsilifis P, Bilionis I, Katsounaros I, Zabaras N. Computationally Efficient Variational Approximations for Bayesian Inverse Problems Journal of Verification, Validation and Uncertainty Quantification. 1. DOI: 10.1115/1.4034102 |
0.308 |
|
| 2016 |
Ellam L, Zabaras N, Girolami MA. A Bayesian approach to multiscale inverse problems with on-the-fly scale determination Journal of Computational Physics. 326: 115-140. DOI: 10.1016/J.Jcp.2016.08.031 |
0.389 |
|
| 2016 |
Xing WW, Triantafyllidis V, Shah AA, Nair PB, Zabaras N. Manifold learning for the emulation of spatial fields from computational models Journal of Computational Physics. 326: 666-690. DOI: 10.1016/J.Jcp.2016.07.040 |
0.373 |
|
| 2016 |
Aldegunde M, Zabaras N, Kristensen J. Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions Journal of Computational Physics. 323: 17-44. DOI: 10.1016/J.Jcp.2016.07.016 |
0.333 |
|
| 2016 |
Aldegunde M, Kermode JR, Zabaras N. Development of an exchange-correlation functional with uncertainty quantification capabilities for density functional theory Journal of Computational Physics. 311: 173-195. DOI: 10.1016/J.Jcp.2016.01.034 |
0.312 |
|
| 2015 |
Chen P, Zabaras N, Bilionis I. Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference Journal of Computational Physics. 284: 291-333. DOI: 10.1016/J.Jcp.2014.12.028 |
0.434 |
|
| 2014 |
Bilionis I, Zabaras N. Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective Inverse Problems. 30: 15004. DOI: 10.1088/0266-5611/30/1/015004 |
0.41 |
|
| 2014 |
Wan J, Zabaras N. A probabilistic graphical model based stochastic input model construction Journal of Computational Physics. 272: 664-685. DOI: 10.1016/J.Jcp.2014.05.002 |
0.756 |
|
| 2014 |
Chen P, Zabaras N. Uncertainty quantification for multiscale disk forging of polycrystal materials using probabilistic graphical model techniques Computational Materials Science. 84: 278-292. DOI: 10.1016/J.Commatsci.2013.12.004 |
0.494 |
|
| 2013 |
Bilionis I, Zabaras N. A stochastic optimization approach to coarse-graining using a relative-entropy framework. The Journal of Chemical Physics. 138: 044313. PMID 23387590 DOI: 10.1063/1.4789308 |
0.384 |
|
| 2013 |
Wan J, Zabaras N. A probabilistic graphical model approach to stochastic multiscale partial differential equations Journal of Computational Physics. 250: 477-510. DOI: 10.1016/J.Jcp.2013.05.016 |
0.751 |
|
| 2013 |
Chen P, Zabaras N. A nonparametric belief propagation method for uncertainty quantification with applications to flow in random porous media Journal of Computational Physics. 250: 616-643. DOI: 10.1016/J.Jcp.2013.05.006 |
0.422 |
|
| 2013 |
Bilionis I, Zabaras N, Konomi BA, Lin G. Multi-output separable Gaussian process: Towards an efficient, fully Bayesian paradigm for uncertainty quantification Journal of Computational Physics. 241: 212-239. DOI: 10.1016/J.Jcp.2013.01.011 |
0.434 |
|
| 2012 |
Bilionis I, Zabaras N. Multidimensional Adaptive Relevance Vector Machines for Uncertainty Quantification Siam Journal On Scientific Computing. 34. DOI: 10.1137/120861345 |
0.366 |
|
| 2012 |
Bilionis I, Zabaras N. Multi-output local Gaussian process regression: Applications to uncertainty quantification Journal of Computational Physics. 231: 5718-5746. DOI: 10.1016/J.Jcp.2012.04.047 |
0.407 |
|
| 2012 |
Wen B, Zabaras N. A multiscale approach for model reduction of random microstructures Computational Materials Science. 63: 269-285. DOI: 10.1016/J.Commatsci.2012.06.021 |
0.629 |
|
| 2012 |
Wen B, Zabaras N. Investigating variability of fatigue indicator parameters of two-phase nickel-based superalloy microstructures Computational Materials Science. 51: 455-481. DOI: 10.1016/J.Commatsci.2011.07.055 |
0.593 |
|
| 2011 |
Wen B, Li Z, Zabaras N. Thermal Response Variability of Random Polycrystalline Microstructures Communications in Computational Physics. 10: 607-634. DOI: 10.4208/Cicp.200510.061210A |
0.614 |
|
| 2011 |
Wan J, Zabaras N. A Bayesian approach to multiscale inverse problems using the sequential Monte Carlo method Inverse Problems. 27: 105004. DOI: 10.1088/0266-5611/27/10/105004 |
0.74 |
|
| 2011 |
Ma X, Zabaras N. Kernel principal component analysis for stochastic input model generation Journal of Computational Physics. 230: 7311-7331. DOI: 10.1016/J.Jcp.2011.05.037 |
0.551 |
|
| 2011 |
Ma X, Zabaras N. A stochastic mixed finite element heterogeneous multiscale method for flow in porous media Journal of Computational Physics. 230: 4696-4722. DOI: 10.1016/J.Jcp.2011.03.001 |
0.565 |
|
| 2010 |
Ma X, Zabaras N. An adaptive high-dimensional stochastic model representation technique for the solution of stochastic partial differential equations Journal of Computational Physics. 229: 3884-3915. DOI: 10.1016/J.Jcp.2010.01.033 |
0.58 |
|
| 2010 |
Li Z, Wen B, Zabaras N. Computing mechanical response variability of polycrystalline microstructures through dimensionality reduction techniques Computational Materials Science. 49: 568-581. DOI: 10.1016/J.Commatsci.2010.05.051 |
0.623 |
|
| 2010 |
Kouchmeshky B, Zabaras N. Microstructure model reduction and uncertainty quantification in multiscale deformation processes Computational Materials Science. 48: 213-227. DOI: 10.1016/J.Commatsci.2010.01.001 |
0.809 |
|
| 2009 |
Ma X, Zabaras N. An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method Inverse Problems. 25: 35013. DOI: 10.1088/0266-5611/25/3/035013 |
0.574 |
|
| 2009 |
Ma X, Zabaras N. An adaptive hierarchical sparse grid collocation algorithm for the solution of stochastic differential equations Journal of Computational Physics. 228: 3084-3113. DOI: 10.1016/J.Jcp.2009.01.006 |
0.545 |
|
| 2009 |
Ganapathysubramanian B, Zabaras N. A stochastic multiscale framework for modeling flow through random heterogeneous porous media Journal of Computational Physics. 228: 591-618. DOI: 10.1016/J.Jcp.2008.10.006 |
0.652 |
|
| 2009 |
Kouchmeshky B, Zabaras N. The effect of multiple sources of uncertainty on the convex hull of material properties of polycrystals Computational Materials Science. 47: 342-352. DOI: 10.1016/J.Commatsci.2009.08.010 |
0.82 |
|
| 2009 |
Kouchmeshky B, Zabaras N. Modeling the response of HCP polycrystals deforming by slip and twinning using a finite element representation of the orientation space Computational Materials Science. 45: 1043-1051. DOI: 10.1016/J.Commatsci.2009.01.009 |
0.809 |
|
| 2009 |
Li W, Zabaras N. A virtual environment for the interrogation of 3D polycrystalline microstructures including grain size effects Computational Materials Science. 44: 1163-1177. DOI: 10.1016/J.Commatsci.2008.07.034 |
0.408 |
|
| 2009 |
Sundararaghavan V, Zabaras N. A statistical learning approach for the design of polycrystalline materials Statistical Analysis and Data Mining. 1: 306-321. DOI: 10.1002/Sam.V1:5 |
0.446 |
|
| 2008 |
Ma X, Zabaras N. A stabilized stochastic finite element second-order projection method for modeling natural convection in random porous media Journal of Computational Physics. 227: 8448-8471. DOI: 10.1016/J.Jcp.2008.06.008 |
0.547 |
|
| 2008 |
Ganapathysubramanian B, Zabaras N. A non-linear dimension reduction methodology for generating data-driven stochastic input models Journal of Computational Physics. 227: 6612-6637. DOI: 10.1016/J.Jcp.2008.03.023 |
0.651 |
|
| 2008 |
Zabaras N, Ganapathysubramanian B. A scalable framework for the solution of stochastic inverse problems using a sparse grid collocation approach Journal of Computational Physics. 227: 4697-4735. DOI: 10.1016/J.Jcp.2008.01.019 |
0.663 |
|
| 2008 |
Sundararaghavan V, Zabaras N. A multi-length scale sensitivity analysis for the control of texture-dependent properties in deformation processing International Journal of Plasticity. 24: 1581-1605. DOI: 10.1016/J.Ijplas.2007.12.005 |
0.465 |
|
| 2008 |
Ganapathysubramanian B, Zabaras N. A seamless approach towards stochastic modeling: Sparse grid collocation and data driven input models Finite Elements in Analysis and Design. 44: 298-320. DOI: 10.1016/J.Finel.2007.11.015 |
0.635 |
|
| 2008 |
Zabaras N, Xiu D. Stochastic modeling of multiscale and multiphysics problems Computer Methods in Applied Mechanics and Engineering. 197: 3419. DOI: 10.1016/J.Cma.2008.04.021 |
0.362 |
|
| 2008 |
Ganapathysubramanian B, Zabaras N. Modeling multiscale diffusion processes in random heterogeneous media Computer Methods in Applied Mechanics and Engineering. 197: 3560-3573. DOI: 10.1016/J.Cma.2008.03.020 |
0.367 |
|
| 2007 |
Zabaras N, Sankaran S. An information-theoretic approach to stochastic materials modeling Computing in Science and Engineering. 9: 30-39. DOI: 10.1109/MCSE.2007.24 |
0.734 |
|
| 2007 |
Tan L, Zabaras N. Multiscale modeling of alloy solidification using a database approach Journal of Computational Physics. 227: 728-754. DOI: 10.1016/J.Jcp.2007.08.016 |
0.625 |
|
| 2007 |
Ganapathysubramanian B, Zabaras N. Modeling diffusion in random heterogeneous media : Data-driven models, stochastic collocation and the variational multiscale method Journal of Computational Physics. 226: 326-353. DOI: 10.1016/J.Jcp.2007.04.009 |
0.664 |
|
| 2007 |
Tan L, Zabaras N. Modeling the growth and interaction of multiple dendrites in solidification using a level set method Journal of Computational Physics. 226: 131-155. DOI: 10.1016/J.Jcp.2007.03.023 |
0.641 |
|
| 2007 |
Ganapathysubramanian B, Zabaras N. Sparse grid collocation schemes for stochastic natural convection problems Journal of Computational Physics. 225: 652-685. DOI: 10.1016/J.Jcp.2006.12.014 |
0.674 |
|
| 2007 |
Tan L, Zabaras N. A level set simulation of dendritic solidification of multi-component alloys Journal of Computational Physics. 221: 9-40. DOI: 10.1016/J.Jcp.2006.06.003 |
0.624 |
|
| 2007 |
Acharjee S, Zabaras N. A non-intrusive stochastic Galerkin approach for modeling uncertainty propagation in deformation processes Computers and Structures. 85: 244-254. DOI: 10.1016/J.Compstruc.2006.10.004 |
0.732 |
|
| 2007 |
Sankaran S, Zabaras N. Computing property variability of polycrystals induced by grain size and orientation uncertainties Acta Materialia. 55: 2279-2290. DOI: 10.1016/J.Actamat.2006.11.025 |
0.765 |
|
| 2007 |
Sundararaghavan V, Zabaras N. Linear analysis of texture-property relationships using process-based representations of Rodrigues space Acta Materialia. 55: 1573-1587. DOI: 10.1016/J.Actamat.2006.10.019 |
0.428 |
|
| 2006 |
Asokan BV, Zabaras N. A stochastic variational multiscale method for diffusion in heterogeneous random media Journal of Computational Physics. 218: 654-676. DOI: 10.1016/J.Jcp.2006.02.026 |
0.385 |
|
| 2006 |
Zabaras N, Ganapathysubramanian B, Tan L. Modelling dendritic solidification with melt convection using the extended finite element method Journal of Computational Physics. 218: 200-227. DOI: 10.1016/J.Jcp.2006.02.002 |
0.742 |
|
| 2006 |
Tan L, Zabaras N. A level set simulation of dendritic solidification with combined features of front-tracking and fixed-domain methods Journal of Computational Physics. 211: 36-63. DOI: 10.1016/J.Jcp.2005.05.013 |
0.632 |
|
| 2006 |
Sundararaghavan V, Zabaras N. Design of microstructure-sensitive properties in elasto-viscoplastic polycrystals using multi-scale homogenization International Journal of Plasticity. 22: 1799-1824. DOI: 10.1016/J.Ijplas.2006.01.001 |
0.481 |
|
| 2006 |
Samanta D, Zabaras N. Control of macrosegregation during the solidification of alloys using magnetic fields International Journal of Heat and Mass Transfer. 49: 4850-4866. DOI: 10.1016/J.Ijheatmasstransfer.2006.05.045 |
0.822 |
|
| 2006 |
Wang J, Zabaras N. A Markov random field model of contamination source identification in porous media flow International Journal of Heat and Mass Transfer. 49: 939-950. DOI: 10.1016/J.Ijheatmasstransfer.2005.09.016 |
0.59 |
|
| 2006 |
Acharjee S, Zabaras N. Uncertainty propagation in finite deformations - A spectral stochastic Lagrangian approach Computer Methods in Applied Mechanics and Engineering. 195: 2289-2312. DOI: 10.1016/J.Cma.2005.05.005 |
0.722 |
|
| 2006 |
Acharjee S, Zabaras N. The continuum sensitivity method for the computational design of three-dimensional deformation processes Computer Methods in Applied Mechanics and Engineering. 195: 6822-6842. DOI: 10.1016/J.Cma.2004.05.033 |
0.715 |
|
| 2006 |
Sankaran S, Zabaras N. A maximum entropy approach for property prediction of random microstructures Acta Materialia. 54: 2265-2276. DOI: 10.1016/J.Actamat.2006.01.015 |
0.75 |
|
| 2006 |
Acharjee S, Zabaras N. A concurrent model reduction approach on spatial and random domains for the solution of stochastic PDEs International Journal For Numerical Methods in Engineering. 66: 1934-1954. DOI: 10.1002/Nme.1611 |
0.695 |
|
| 2005 |
Zabaras N, Samanta D. A Combined Experimental and Computational Approach for the Design of Mold Topography that Leads to Desired Ingot Surface and Microstructure in Aluminum Casting. Journal of Computational Physics. 211. DOI: 10.2172/850514 |
0.785 |
|
| 2005 |
Samanta D, Zabaras N. A coupled thermomechanical, thermal transport and segregation analysis of the solidification of aluminum alloys on molds of uneven topographies Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing. 408: 211-226. DOI: 10.1016/J.Msea.2005.08.030 |
0.799 |
|
| 2005 |
Tan L, Zabaras N. A thermomechanical study of the effects of mold topography on the solidification of Aluminum alloys Materials Science and Engineering a-Structural Materials Properties Microstructure and Processing. 404: 197-207. DOI: 10.1016/J.Msea.2005.05.046 |
0.576 |
|
| 2005 |
Ganapathysubramanian B, Zabaras N. Control of solidification of non-conducting materials using tailored magnetic fields Journal of Crystal Growth. 276: 299-316. DOI: 10.1016/J.Jcrysgro.2004.11.336 |
0.643 |
|
| 2005 |
Asokan BV, Zabaras N. Using stochastic analysis to capture unstable equilibrium in natural convection Journal of Computational Physics. 208: 134-153. DOI: 10.1016/J.Jcp.2005.02.007 |
0.407 |
|
| 2005 |
Narayanan VAB, Zabaras N. Variational multiscale stabilized FEM formulations for transport equations: stochastic advection-diffusion and incompressible stochastic Navier-Stokes equations Journal of Computational Physics. 202: 94-133. DOI: 10.1016/J.Jcp.2004.06.019 |
0.421 |
|
| 2005 |
Samanta D, Zabaras N. Numerical study of macrosegregation in Aluminum alloys solidifying on uneven surfaces International Journal of Heat and Mass Transfer. 48: 4541-4556. DOI: 10.1016/J.Ijheatmasstransfer.2005.06.008 |
0.795 |
|
| 2005 |
Ganapathysubramanian B, Zabaras N. On the control of solidification using magnetic fields and magnetic field gradients International Journal of Heat and Mass Transfer. 48: 4174-4189. DOI: 10.1016/J.Ijheatmasstransfer.2005.04.027 |
0.617 |
|
| 2005 |
Wang J, Zabaras N. Using Bayesian statistics in the estimation of heat source in radiation International Journal of Heat and Mass Transfer. 48: 15-29. DOI: 10.1016/J.Ijheatmasstransfer.2004.08.009 |
0.542 |
|
| 2005 |
Sundararaghavan V, Zabaras N. Classification and reconstruction of three-dimensional microstructures using support vector machines Computational Materials Science. 32: 223-239. DOI: 10.1016/J.Commatsci.2004.07.004 |
0.782 |
|
| 2005 |
Sundararaghavan V, Zabaras N. On the synergy between texture classification and deformation process sequence selection for the control of texture-dependent properties Acta Materialia. 53: 1015-1027. DOI: 10.1016/J.Actamat.2004.11.001 |
0.805 |
|
| 2005 |
Samanta D, Zabaras N. Modelling convection in solidification processes using stabilized finite element techniques International Journal For Numerical Methods in Engineering. 64: 1769-1799. DOI: 10.1002/Nme.1423 |
0.821 |
|
| 2004 |
Wang J, Zabaras N. Hierarchical Bayesian models for inverse problems in heat conduction Inverse Problems. 21: 183-206. DOI: 10.1088/0266-5611/21/1/012 |
0.575 |
|
| 2004 |
Ganapathysubramanian B, Zabaras N. Using magnetic field gradients to control the directional solidification of alloys and the growth of single crystals Journal of Crystal Growth. 270: 255-272. DOI: 10.1016/J.Jcrysgro.2004.06.020 |
0.577 |
|
| 2004 |
Ganapathysubramanian S, Zabaras N. Deformation process design for control of microstructure in the presence of dynamic recrystallization and grain growth mechanisms International Journal of Solids and Structures. 41: 2011-2037. DOI: 10.1016/J.Ijsolstr.2003.11.020 |
0.832 |
|
| 2004 |
Ganapathysubramanian S, Zabaras N. Modeling the thermoelastic¿viscoplastic response of polycrystals using a continuum representation over the orientation space International Journal of Plasticity. 21: 119-144. DOI: 10.1016/J.Ijplas.2004.04.005 |
0.794 |
|
| 2004 |
Wang J, Zabaras N. A Bayesian inference approach to the inverse heat conduction problem International Journal of Heat and Mass Transfer. 47: 3927-3941. DOI: 10.1016/J.Ijheatmasstransfer.2004.02.028 |
0.56 |
|
| 2004 |
Ganapathysubramanian S, Zabaras N. Design across length scales: a reduced-order model of polycrystal plasticity for the control of microstructure-sensitive material properties Computer Methods in Applied Mechanics and Engineering. 193: 5017-5034. DOI: 10.1016/J.Cma.2004.04.004 |
0.83 |
|
| 2004 |
Sundararaghavan V, Zabaras N. A dynamic material library for the representation of single-phase polyhedral microstructures Acta Materialia. 52: 4111-4119. DOI: 10.1016/J.Actamat.2004.05.024 |
0.785 |
|
| 2004 |
Zabaras N, Samanta D. A stabilized volume‐averaging finite element method for flow in porous media and binary alloy solidification processes International Journal For Numerical Methods in Engineering. 60: 1103-1138. DOI: 10.1002/Nme.998 |
0.803 |
|
| 2004 |
Narayanan VAB, Zabaras N. Stochastic inverse heat conduction using a spectral approach International Journal For Numerical Methods in Engineering. 60: 1569-1593. DOI: 10.1002/Nme.1015 |
0.416 |
|
| 2003 |
Acharjee S, Zabaras N. A proper orthogonal decomposition approach to microstructure model reduction in Rodrigues space with applications to optimal control of microstructure-sensitive properties Acta Materialia. 51: 5627-5646. DOI: 10.1016/S1359-6454(03)00427-0 |
0.737 |
|
| 2003 |
Ganapathysubramanian S, Zabaras N. Computational design of deformation processes for materials with ductile damage Computer Methods in Applied Mechanics and Engineering. 192: 147-183. DOI: 10.1016/S0045-7825(02)00538-8 |
0.819 |
|
| 2003 |
Zabaras N, Ganapathysubramanian S, Li Q. A continuum sensitivity method for the design of multi-stage metal forming processes International Journal of Mechanical Sciences. 45: 325-358. DOI: 10.1016/S0020-7403(03)00048-1 |
0.808 |
|
| 2002 |
Ganapathysubramanian S, Zabaras N. A continuum sensitivity method for finite thermo‐inelastic deformations with applications to the design of hot forming processes International Journal For Numerical Methods in Engineering. 55: 1391-1437. DOI: 10.1002/Nme.543 |
0.826 |
|
| 2001 |
Sampath R, Zabaras N. Adjoint Variable Method For The Thermal Design Of Eutectic Directional Solidification Processes In An Open-Boat Configuration Numerical Heat Transfer Part a-Applications. 39: 655-683. DOI: 10.1080/10407780119041 |
0.805 |
|
| 2001 |
Sampath R, Zabaras N. A functional optimization approach to an inverse magneto-convection problem Computer Methods in Applied Mechanics and Engineering. 190: 2063-2097. DOI: 10.1016/S0045-7825(00)00222-X |
0.797 |
|
| 2001 |
Sampath R, Zabaras N. Numerical Study of Convection in the Directional Solidification of a Binary Alloy Driven by the Combined Action of Buoyancy, Surface Tension, and Electromagnetic Forces Journal of Computational Physics. 168: 384-411. DOI: 10.1006/Jcph.2001.6706 |
0.806 |
|
| 2001 |
Srikanth A, Zabaras N. An updated Lagrangian finite element sensitivity analysis of large deformations using quadrilateral elements International Journal For Numerical Methods in Engineering. 52: 1131-1163. DOI: 10.1002/Nme.245 |
0.45 |
|
| 2001 |
Sampath R, Zabaras N. Inverse design of directional solidification processes in the presence of a strong external magnetic field International Journal For Numerical Methods in Engineering. 50: 2489-2520. DOI: 10.1002/Nme.131 |
0.807 |
|
| 2000 |
Srikanth A, Zabaras N. Shape optimization and preform design in metal forming processes Computer Methods in Applied Mechanics and Engineering. 190: 1859-1901. DOI: 10.1016/S0045-7825(00)00213-9 |
0.476 |
|
| 2000 |
Zabaras N, Bao Y, Srikanth A, Frazier WG. A Continuum Lagrangian Sensitivity Analysis for Metal Forming Processes with Applications to Die Design Problems International Journal For Numerical Methods in Engineering. 48: 679-720. DOI: 10.1002/(Sici)1097-0207(20000620)48:5<679::Aid-Nme895>3.0.Co;2-U |
0.495 |
|
| 2000 |
Sampath R, Zabaras N. An object‐oriented framework for the implementation of adjoint techniques in the design and control of complex continuum systems International Journal For Numerical Methods in Engineering. 48: 239-266. DOI: 10.1002/(Sici)1097-0207(20000520)48:2<239::Aid-Nme877>3.0.Co;2-F |
0.794 |
|
| 1999 |
Zabaras N, Srikanth A. Using Objects to Model Finite Deformation Plasticity Engineering With Computers. 15: 37-60. DOI: 10.1007/S003660050004 |
0.436 |
|
| 1999 |
Srikanth A, Zabaras N. A Computational Model For The Finite Element Analysis Of Thermoplasticity Coupled With Ductile Damage At Finite Strains International Journal For Numerical Methods in Engineering. 45: 1569-1605. DOI: 10.1002/(Sici)1097-0207(19990820)45:11<1569::Aid-Nme644>3.0.Co;2-P |
0.437 |
|
| 1999 |
Zabaras N, Srikanth A. An object-oriented programming approach to the Lagrangian FEM analysis of large inelastic deformations and metal-forming processes International Journal For Numerical Methods in Engineering. 45: 399-445. DOI: 10.1002/(Sici)1097-0207(19990610)45:4<399::Aid-Nme587>3.0.Co;2-E |
0.446 |
|
| 1999 |
Sampath R, Zabaras N. An object oriented implementation of a front tracking finite element method for directional solidification processes International Journal For Numerical Methods in Engineering. 44: 1227-1265. DOI: 10.1002/(Sici)1097-0207(19990330)44:9<1227::Aid-Nme471>3.0.Co;2-R |
0.808 |
|
| 1998 |
Yang GZ, Zabaras N. The Adjoint Method for an Inverse Design Problem in the Directional Solidification of Binary Alloys Journal of Computational Physics. 140: 432-452. DOI: 10.1006/Jcph.1998.5893 |
0.454 |
|
| 1998 |
Yang GZ, Zabaras N. An Adjoint Method For The Inverse Design Of Solidification Processes With Natural Convection International Journal For Numerical Methods in Engineering. 42: 1121-1144. DOI: 10.1002/(Sici)1097-0207(19980730)42:6<1121::Aid-Nme403>3.0.Co;2-8 |
0.47 |
|
| 1997 |
Zabaras N, Yang GZ. A functional optimization formulation and implementation of an inverse natural convection problem Computer Methods in Applied Mechanics and Engineering. 144: 245-274. DOI: 10.1016/S0045-7825(96)01184-X |
0.372 |
|
| 1996 |
Badrinarayanan S, Zabaras N. A sensitivity analysis for the optimal design of metal-forming processes Computer Methods in Applied Mechanics and Engineering. 129: 319-348. DOI: 10.1016/0045-7825(95)00859-4 |
0.455 |
|
| 1995 |
Zabaras N, Nguyen TH. Control of the freezing interface morphology in solidification processes in the presence of natural convection International Journal For Numerical Methods in Engineering. 38: 1555-1578. DOI: 10.1002/Nme.1620380907 |
0.428 |
|
| 1995 |
Kang S, Zabaras N. Control of the freezing interface motion in two‐dimensional solidification processes using the adjoint method International Journal For Numerical Methods in Engineering. 38: 63-80. DOI: 10.1002/Nme.1620380105 |
0.46 |
|
| 1994 |
Zabaras N, Liu S, Koppuzha J, Donaldson E. A Hypoelastic Model for Computing the Stresses in Center-Wound Rolls of Magnetic Tape Journal of Applied Mechanics. 61: 290-295. DOI: 10.1115/1.2901443 |
0.396 |
|
| 1994 |
Zabaras N, Yuan K. Dynamic programming approach to the inverse Stefan design problem Numerical Heat Transfer, Part B: Fundamentals. 26: 97-104. DOI: 10.1080/10407799408914919 |
0.335 |
|
| 1994 |
Zabaras N, Mukherjee S. Solidification Problems By The Boundary Element Method International Journal of Solids and Structures. 31: 1829-1846. DOI: 10.1016/0020-7683(94)90218-6 |
0.458 |
|
| 1994 |
McDaniel DJ, Zabaras N. A least‐squares front‐tracking finite element method analysis of phase change with natural convection International Journal For Numerical Methods in Engineering. 37: 2755-2777. DOI: 10.1002/Nme.1620371605 |
0.443 |
|
| 1993 |
Zabaras N, Kang S. On the solution of an ill‐posed design solidification problem using minimization techniques in finite‐ and infinite‐dimensional function spaces International Journal For Numerical Methods in Engineering. 36: 3973-3990. DOI: 10.1002/Nme.1620362304 |
0.365 |
|
| 1992 |
Zabaras N, Ruan Y, Richmond O. Design of Two-Dimensional Stefan Processes with Desired Freezing Front Motions Numerical Heat Transfer Part B-Fundamentals. 21: 307-325. DOI: 10.1080/10407799208944907 |
0.448 |
|
| 1992 |
Arif AFM, Zabaras N. On the performance of two tangent operators for finite element analysis of large deformation inelastic problems International Journal For Numerical Methods in Engineering. 35: 369-389. DOI: 10.1002/Nme.1620350209 |
0.435 |
|
| 1992 |
Schnur DS, Zabaras N. An inverse method for determining elastic material properties and a material interface International Journal For Numerical Methods in Engineering. 33: 2039-2057. DOI: 10.1002/Nme.1620331004 |
0.362 |
|
| 1992 |
Pervez T, Zabaras N. Transient dynamic and damping analysis of laminated anisotropic plates using a refined plate theory International Journal For Numerical Methods in Engineering. 33: 1059-1080. DOI: 10.1002/Nme.1620330511 |
0.355 |
|
| 1992 |
Zabaras N, Arif AFM. A family of integration algorithms for constitutive equations in finite deformation elasto‐viscoplasticity International Journal For Numerical Methods in Engineering. 33: 59-84. DOI: 10.1002/Nme.1620330105 |
0.391 |
|
| 1991 |
Zabaras N, Ruan Y, Richmond O. On the Calculation of Deformations and Stresses During Axially Symmetric Solidification Journal of Applied Mechanics. 58: 865-871. DOI: 10.1115/1.2897699 |
0.357 |
|
| 1991 |
Tolson S, Zabaras N. Finite element analysis of progressive failure in laminated composite plates Computers & Structures. 38: 361-376. DOI: 10.1016/0045-7949(91)90113-Z |
0.33 |
|
| 1991 |
Ruan Y, Zabaras N. An inverse finite‐element technique to determine the change of phase interface location in two‐dimensional melting problems Communications in Applied Numerical Methods. 7: 325-338. DOI: 10.1002/Cnm.1630070411 |
0.417 |
|
| 1990 |
Zabaras N, Ruan Y, Richmond O. Front tracking thermomechanical model for hypoelastic-viscoplastic behavior in a solidifying body Applied Mechanics and Engineering. 81: 333-364. DOI: 10.1016/0045-7825(90)90060-Y |
0.39 |
|
| 1990 |
Zabaras N, Pervez T. Viscous damping approximation of laminated anisotropic composite plates using the finite element method Applied Mechanics and Engineering. 81: 291-316. DOI: 10.1016/0045-7825(90)90058-T |
0.314 |
|
| 1990 |
Schnur DS, Zabaras N. Finite element solution of two‐dimensional inverse elastic problems using spatial smoothing International Journal For Numerical Methods in Engineering. 30: 57-75. DOI: 10.1002/Nme.1620300105 |
0.358 |
|
| 1990 |
Zabaras N. Inverse finite element techniques for the analysis of solidification processes International Journal For Numerical Methods in Engineering. 29: 1569-1587. DOI: 10.1002/Nme.1620290713 |
0.348 |
|
| 1990 |
Zabaras N, Ruan Y. Moving and deforming finite‐element simulation of two‐dimensional Stefan problems Communications in Applied Numerical Methods. 6: 495-506. DOI: 10.1002/Cnm.1630060702 |
0.407 |
|
| 1989 |
Maniatty A, Zabaras N, Stelson K. Finite Element Analysis of Some Inverse Elasticity Problems Journal of Engineering Mechanics-Asce. 115: 1303-1317. DOI: 10.1061/(Asce)0733-9399(1989)115:6(1303) |
0.428 |
|
| 1989 |
Maniatty A, Zabaras N. Method for Solving Inverse Elastoviscoplastic Problems Journal of Engineering Mechanics-Asce. 115: 2216-2231. DOI: 10.1061/(Asce)0733-9399(1989)115:10(2216) |
0.411 |
|
| 1989 |
Zabaras N, Ruan Y. A deforming finite element method analysis of inverse stefan problems International Journal For Numerical Methods in Engineering. 28: 295-313. DOI: 10.1002/Nme.1620280205 |
0.396 |
|
| 1989 |
Zabaras N, Morellas V, Schnur D. Spatially regularized solution of inverse elasticity problems using the BEM Communications in Applied Numerical Methods. 5: 547-553. DOI: 10.1002/Cnm.1630050808 |
0.412 |
|
| 1988 |
Zabaras N, Mukherjee S, Richmond O. An analysis of inverse heat transfer problems with phase changes using an integral method Journal of Heat Transfer-Transactions of the Asme. 110: 554-561. DOI: 10.1115/1.3250528 |
0.426 |
|
| 1988 |
Zabaras N, Liu JC. An analysis of two-dimensional linear inverse heat transfer problems using an integral method Numerical Heat Transfer. 13: 527-533. DOI: 10.1080/10407788808910006 |
0.339 |
|
| 1987 |
Zabaras N, Mukherjee S, Arthur WR. A Numerical And Experimental Study Of Quenching Of Circular Cylinders Journal of Thermal Stresses. 10: 177-191. DOI: 10.1080/01495738708927007 |
0.414 |
|
| 1987 |
Zabaras N, Mukherjee S. An analysis of solidification problems by the boundary element method International Journal For Numerical Methods in Engineering. 24: 1879-1900. DOI: 10.1002/Nme.1620241006 |
0.433 |
|
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