Siddhant Kumar
Cited by
Cited by
Inverse-designed spinodoid metamaterials
S Kumar, S Tan, L Zheng, DM Kochmann
npj Computational Materials 6 (1), 73, 2020
Unsupervised discovery of interpretable hyperelastic constitutive laws
M Flaschel, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 381, 113852, 2021
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy
L Zheng, S Kumar, DM Kochmann
Computer Methods in Applied Mechanics and Engineering 383, 113894, 2021
Inverting the structure–property map of truss metamaterials by deep learning
JH Bastek, S Kumar, B Telgen, RN Glaesener, DM Kochmann
Proceedings of the National Academy of Sciences 119 (1), e2111505119, 2022
A helical Cauchy-Born rule for special Cosserat rod modeling of nano and continuum rods
A Kumar, S Kumar, P Gupta
Journal of Elasticity 124, 81-106, 2016
NN-EUCLID: Deep-learning hyperelasticity without stress data
P Thakolkaran, A Joshi, Y Zheng, M Flaschel, L De Lorenzis, S Kumar
Journal of the Mechanics and Physics of Solids 169, 105076, 2022
Enhanced local maximum-entropy approximation for stable meshfree simulations
S Kumar, K Danas, DM Kochmann
Computer Methods in Applied Mechanics and Engineering 344, 858-886, 2019
Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
npj Computational Materials 8 (1), 91, 2022
Effect of intrinsic twist and orthotropy on extension–twist–inflation coupling in compressible circular tubes
R Singh, S Kumar, A Kumar
Journal of Elasticity 128, 175-201, 2017
Bayesian-EUCLID: Discovering hyperelastic material laws with uncertainties
A Joshi, P Thakolkaran, Y Zheng, M Escande, M Flaschel, L De Lorenzis, ...
Computer Methods in Applied Mechanics and Engineering 398, 115225, 2022
What machine learning can do for computational solid mechanics
S Kumar, DM Kochmann
Current Trends and Open Problems in Computational Mechanics, 275-285, 2022
An assessment of numerical techniques to find energy‐minimizing microstructures associated with nonconvex potentials
S Kumar, A Vidyasagar, DM Kochmann
International Journal for Numerical Methods in Engineering 121 (7), 1595-1628, 2020
A meshless multiscale approach to modeling severe plastic deformation of metals: Application to ECAE of pure copper
S Kumar, AD Tutcuoglu, Y Hollenweger, DM Kochmann
Computational Materials Science 173, 109329, 2020
Automated discovery of generalized standard material models with EUCLID
M Flaschel, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 405, 115867, 2023
Automated identification of linear viscoelastic constitutive laws with EUCLID
E Marino, M Flaschel, S Kumar, L De Lorenzis
Mechanics of Materials, 104643, 2023
Numerical approaches for investigating quasiconvexity in the context of Morrey’s conjecture
J Voss, RJ Martin, O Sander, S Kumar, DM Kochmann, P Neff
Journal of Nonlinear Science 32 (6), 77, 2022
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
M Flaschel, H Yu, N Reiter, J Hinrichsen, S Budday, P Steinmann, ...
arXiv preprint arXiv:2305.16362, 2023
Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses
RN Glaesener, S Kumar, C Lestringant, T Butruille, CM Portela, ...
Acta Materialia, 118918, 2023
Inverse-designed growth-based cellular metamaterials
S van’t Sant, P Thakolkaran, J Martínez, S Kumar
Mechanics of Materials, 104668, 2023
Single-test evaluation of directional elastic properties of anisotropic structured materials
J Boddapati, M Flaschel, S Kumar, L De Lorenzis, C Daraio
arXiv preprint arXiv:2304.09112, 2023
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