| Continuous/discontinuous finite element approximations of fourth-order elliptic problems in structural and continuum mechanics with applications to thin beams and plates, and … G Engel, K Garikipati, TJR Hughes, MG Larson, L Mazzei, RL Taylor Computer Methods in Applied Mechanics and Engineering 191 (34), 3669-3750, 2002 | 578 | 2002 |
| Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences M Alber, A Buganza Tepole, WR Cannon, S De, S Dura-Bernal, ... NPJ digital medicine 2 (1), 115, 2019 | 567 | 2019 |
| An analysis of strong discontinuities in multiplicative finite strain plasticity and their relation with the numerical simulation of strain localization in solids F Armero, K Garikipati International journal of solids and structures 33 (20-22), 2863-2885, 1996 | 497 | 1996 |
| Perspectives on biological growth and remodeling D Ambrosi, GA Ateshian, EM Arruda, SC Cowin, J Dumais, A Goriely, ... Journal of the Mechanics and Physics of Solids 59 (4), 863-883, 2011 | 379 | 2011 |
| Multiscale modeling meets machine learning: What can we learn? GCY Peng, M Alber, A Buganza Tepole, WR Cannon, S De, ... Archives of Computational Methods in Engineering 28, 1017-1037, 2021 | 325 | 2021 |
| A continuum treatment of growth in biological tissue: the coupling of mass transport and mechanics K Garikipati, EM Arruda, K Grosh, H Narayanan, S Calve Journal of the Mechanics and Physics of Solids 52 (7), 1595-1625, 2004 | 295 | 2004 |
| A discontinuous Galerkin method for the Cahn–Hilliard equation GN Wells, E Kuhl, K Garikipati Journal of Computational Physics 218 (2), 860-877, 2006 | 258 | 2006 |
| Remodeling of biological tissue: mechanically induced reorientation of a transversely isotropic chain network E Kuhl, K Garikipati, EM Arruda, K Grosh Journal of the Mechanics and Physics of Solids 53 (7), 1552-1573, 2005 | 241 | 2005 |
| Rate dependence of swelling in lithium-ion cells KY Oh, JB Siegel, L Secondo, SU Kim, NA Samad, J Qin, D Anderson, ... Journal of Power Sources 267, 197-202, 2014 | 214 | 2014 |
| Characterization of contact electromechanics through capacitance-voltage measurements and simulations EK Chan, K Garikipati, RW Dutton Journal of microelectromechanical systems 8 (2), 208-217, 1999 | 188 | 1999 |
| The role of coherency strains on phase stability in LixFePO4: Needle crystallites minimize coherency strain and overpotential A Van der Ven, K Garikipati, S Kim, M Wagemaker Journal of the Electrochemical Society 156 (11), A949, 2009 | 160 | 2009 |
| A variational multiscale approach to strain localization–formulation for multidimensional problems K Garikipati, TJR Hughes Computer Methods in Applied Mechanics and Engineering 188 (1-3), 39-60, 2000 | 141 | 2000 |
| Recent advances in the analysis and numerical simulation of strain localization in inelastic solids F Armero, K Garikipati Computational Plasticity Fundamentals and Applications. I, 547-561, 1995 | 137 | 1995 |
| A study of strain localization in a multiple scale framework—the one-dimensional problem K Garikipati, TJR Hughes Computer methods in applied mechanics and engineering 159 (3-4), 193-222, 1998 | 133 | 1998 |
| An energy basin finding algorithm for kinetic Monte Carlo acceleration B Puchala, ML Falk, K Garikipati The Journal of chemical physics 132 (13), 2010 | 129 | 2010 |
| Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions GH Teichert, AR Natarajan, A Van der Ven, K Garikipati Computer Methods in Applied Mechanics and Engineering 353, 201-216, 2019 | 116 | 2019 |
| The kinematics of biological growth K Garikipati | 103 | 2009 |
| A discontinuous Galerkin formulation for a strain gradient-dependent damage model GN Wells, K Garikipati, L Molari Computer Methods in Applied Mechanics and Engineering 193 (33-35), 3633-3645, 2004 | 89 | 2004 |
| Machine learning materials physics: Surrogate optimization and multi-fidelity algorithms predict precipitate morphology in an alternative to phase field dynamics GH Teichert, K Garikipati Computer Methods in Applied Mechanics and Engineering 344, 666-693, 2019 | 87 | 2019 |
| Variational system identification of the partial differential equations governing the physics of pattern-formation: Inference under varying fidelity and noise Z Wang, X Huan, K Garikipati Computer Methods in Applied Mechanics and Engineering 356, 44-74, 2019 | 82 | 2019 |
