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Siddhant Kumar
Siddhant Kumar
Bestätigte E-Mail-Adresse bei tudelft.nl - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Inverse-designed spinodoid metamaterials
S Kumar, S Tan, L Zheng, DM Kochmann
npj Computational Materials 6 (1), 1-10, 2020
96*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
572021
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
522021
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 (1), 81-106, 2016
292016
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
232022
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
212019
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 (2), 175-201, 2017
162017
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
132022
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
122020
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
122020
Discovering plasticity models without stress data
M Flaschel, S Kumar, L De Lorenzis
npj Computational Materials 8 (1), 1-10, 2022
112022
What machine learning can do for computational solid mechanics
S Kumar, DM Kochmann
Current Trends and Open Problems in Computational Mechanics, 275-285, 2022
112022
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
82022
Numerical approaches for investigating quasiconvexity in the context of Morrey's conjecture
J Voss, RJ Martin, O Sander, S Kumar, DM Kochmann, P Neff
arXiv preprint arXiv:2201.06392, 2022
42022
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
32023
Automated identification of linear viscoelastic constitutive laws with EUCLID
E Marino, M Flaschel, S Kumar, L De Lorenzis
arXiv preprint arXiv:2212.10969, 2022
22022
Floating Isogeometric Analysis
HC Hille, S Kumar, L De Lorenzis
Computer Methods in Applied Mechanics and Engineering 392, 114684, 2022
2022
An Enhanced Maximum-Entropy Based Meshfree Method: Theory and Applications
S Kumar
California Institute of Technology, 2019
2019
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