| DREAM. 3D: a digital representation environment for the analysis of microstructure in 3D MA Groeber, MA Jackson Integrating materials and manufacturing innovation 3 (1), 56-72, 2014 | 1028 | 2014 |
| 3D reconstruction and characterization of polycrystalline microstructures using a FIB–SEM system MA Groeber, BK Haley, MD Uchic, DM Dimiduk, S Ghosh Materials characterization 57 (4-5), 259-273, 2006 | 393 | 2006 |
| A framework for automated analysis and simulation of 3D polycrystalline microstructures.: Part 1: Statistical characterization M Groeber, S Ghosh, MD Uchic, DM Dimiduk Acta Materialia 56 (6), 1257-1273, 2008 | 365 | 2008 |
| 3D microstructural characterization of nickel superalloys via serial-sectioning using a dual beam FIB-SEM MD Uchic, MA Groeber, DM Dimiduk, JP Simmons Scripta materialia 55 (1), 23-28, 2006 | 347 | 2006 |
| A framework for automated analysis and simulation of 3D polycrystalline microstructures. Part 2: Synthetic structure generation M Groeber, S Ghosh, MD Uchic, DM Dimiduk Acta Materialia 56 (6), 1274-1287, 2008 | 275 | 2008 |
| 3D polycrystalline microstructure reconstruction from FIB generated serial sections for FE analysis Y Bhandari, S Sarkar, M Groeber, MD Uchic, DM Dimiduk, S Ghosh Computational Materials Science 41 (2), 222-235, 2007 | 129 | 2007 |
| Modeling cyclic deformation of HSLA steels using crystal plasticity CL Xie, S Ghosh, M Groeber J. Eng. Mater. Technol. 126 (4), 339-352, 2004 | 121 | 2004 |
| Deriving grain boundary character distributions and relative grain boundary energies from three-dimensional EBSD data GS Rohrer, J Li, S Lee, AD Rollett, M Groeber, MD Uchic Materials Science and Technology 26 (6), 661-669, 2010 | 112 | 2010 |
| Characterization of fatigue crack growth behavior in LENS fabricated Ti-6Al-4V using high-energy synchrotron x-ray microtomography HR Sandgren, Y Zhai, DA Lados, PA Shade, JC Schuren, MA Groeber, ... Additive Manufacturing 12, 132-141, 2016 | 99 | 2016 |
| Identifying structure–property relationships through DREAM. 3D representative volume elements and DAMASK crystal plasticity simulations: an integrated computational materials … M Diehl, M Groeber, C Haase, DA Molodov, F Roters, D Raabe Jom 69, 848-855, 2017 | 93 | 2017 |
| A discrete source model of powder bed fusion additive manufacturing thermal history EJ Schwalbach, SP Donegan, MG Chapman, KJ Chaput, MA Groeber Additive Manufacturing 25, 485-498, 2019 | 92 | 2019 |
| Consistent representations of and conversions between 3D rotations D Rowenhorst, AD Rollett, GS Rohrer, M Groeber, M Jackson, ... Modelling and Simulation in Materials Science and Engineering 23 (8), 083501, 2015 | 89 | 2015 |
| Stress hot spots in viscoplastic deformation of polycrystals AD Rollett, RA Lebensohn, M Groeber, Y Choi, J Li, GS Rohrer Modelling and Simulation in Materials Science and Engineering 18 (7), 074005, 2010 | 87 | 2010 |
| CAD-based reconstruction of 3D polycrystalline alloy microstructures from FIB generated serial sections S Ghosh, Y Bhandari, M Groeber Computer-Aided Design 40 (3), 293-310, 2008 | 86 | 2008 |
| Image-based crystal plasticity FE framework for microstructure dependent properties of Ti–6Al–4V alloys J Thomas, M Groeber, S Ghosh Materials Science and Engineering: A 553, 164-175, 2012 | 74 | 2012 |
| The influence of microstructure on surface strain distributions in a nickel micro-tension specimen TJ Turner, PA Shade, JC Schuren, MA Groeber Modelling and Simulation in Materials Science and Engineering 21 (1), 015002, 2012 | 60 | 2012 |
| Extreme value analysis of tail departure from log-normality in experimental and simulated grain size distributions SP Donegan, JC Tucker, AD Rollett, K Barmak, M Groeber Acta materialia 61 (15), 5595-5604, 2013 | 50 | 2013 |
| Zoning additive manufacturing process histories using unsupervised machine learning SP Donegan, EJ Schwalbach, MA Groeber Materials Characterization 161, 110123, 2020 | 47 | 2020 |
| Automated serial sectioning methods for rapid collection of 3-D microstructure data MD Uchic, MA Groeber, AD Rollett Jom 63, 25-29, 2011 | 47 | 2011 |
| A framework for dynamic image sampling based on supervised learning GMDP Godaliyadda, DH Ye, MD Uchic, MA Groeber, GT Buzzard, ... IEEE Transactions on Computational Imaging 4 (1), 1-16, 2017 | 46* | 2017 |
