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Siddhant Kumar
Observed names:
Kumar, Siddhant,
S. Kumar,
SIDDHANT KUMAR,
Sid Kumar
Institution:
Delft University of Technology
Observed institutions:
Tongji University,
California Institute of Technology,
ETH Zurich,
Indian Institute of Technology Delhi,
Delft University of Technology
ORCID:
0000-0003-1602-8641
Observed ORCID:
0000-0003-1602-8641
OpenAlex ID:
A5034720252
Inverse-designed spinodoid metamaterials
2020
·
Siddhant Kumar
, Stephanie Tan
, et al.
·
npj Computational Materials
·
449
PDF
Unsupervised discovery of interpretable hyperelastic constitutive laws
2021
·
Moritz Flaschel
, Siddhant Kumar
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
259
PDF
Inverting the structure–property map of truss metamaterials by deep learning
2021
·
Jan-Hendrik Bastek
, Siddhant Kumar
, et al.
·
Proceedings of the National Academy of Sciences
·
246
PDF
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling
2023
·
Li Zheng
, Konstantinos Karapiperis
, et al.
·
Nature Communications
·
210
PDF
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy
2021
·
Li Zheng
, Siddhant Kumar
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
205
NN-EUCLID: Deep-learning hyperelasticity without stress data
2022
·
Prakash Thakolkaran
, Akshay Joshi
, et al.
·
Journal of the Mechanics and Physics of Solids
·
172
PDF
Automated discovery of generalized standard material models with EUCLID
2023
·
Moritz Flaschel
, Siddhant Kumar
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
167
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy
2021
·
Zheng, Li
, Kumar, Siddhant
, et al.
·
Repository for Publications and Research Data (ETH Zurich)
·
159
Discovering plasticity models without stress data
2022
·
Moritz Flaschel
, Siddhant Kumar
, et al.
·
npj Computational Materials
·
121
PDF
Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties
2022
·
Joshi, Akshay
, Thakolkaran, Prakash
, et al.
·
arXiv (Cornell University)
·
87
PDF
AI‐Enabled Materials Design of Non‐Periodic 3D Architectures With Predictable Direction‐Dependent Elastic Properties
2024
·
Weiting Deng
, Siddhant Kumar
, et al.
·
Advanced Materials
·
59
Automated identification of linear viscoelastic constitutive laws with EUCLID
2023
·
Enzo Marino
, Moritz Flaschel
, et al.
·
Mechanics of Materials
·
58
Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID
2023
·
Moritz Flaschel
, Huitian Yu
, et al.
·
Journal of the Mechanics and Physics of Solids
·
53
What Machine Learning Can Do for Computational Solid Mechanics
2022
·
Siddhant Kumar
, Dennis M. Kochmann
·
Springer eBooks
·
45
PDF
Inverse-designed growth-based cellular metamaterials
2023
·
Sikko Van ’t Sant
, Prakash Thakolkaran
, et al.
·
Mechanics of Materials
·
42
Can KAN CANs? Input-convex Kolmogorov-Arnold Networks (KANs) as hyperelastic constitutive artificial neural networks (CANs)
2025
·
Prakash Thakolkaran
, Yaqi Guo
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
40
Predicting the influence of geometric imperfections on the mechanical response of 2D and 3D periodic trusses
2023
·
R.N. Glaesener
, S. Kumar
, et al.
·
Acta Materialia
·
40
PDF
Experiment-informed finite-strain inverse design of spinodal metamaterials
2024
·
Prakash Thakolkaran
, Michael Espinal
, et al.
·
Extreme Mechanics Letters
·
39
A Helical Cauchy-Born Rule for Special Cosserat Rod Modeling of Nano and Continuum Rods
2015
·
Ajeet Kumar
, Siddhant Kumar
, et al.
·
Journal of Elasticity
·
35
AI‐Guided Inverse Design and Discovery of Recyclable Vitrimeric Polymers
2024
·
Yiwen Zheng
, Prakash Thakolkaran
, et al.
·
Advanced Science
·
32
PDF
Enhanced local maximum-entropy approximation for stable meshfree simulations
2018
·
Siddhant Kumar
, Kostas Danas
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
31
PDF
An assessment of numerical techniques to find energy‐minimizing microstructures associated with nonconvex potentials
2019
·
Siddhant Kumar
, A. Vidyasagar
, et al.
·
International Journal for Numerical Methods in Engineering
·
30
Inverse Designing Surface Curvatures by Deep Learning
2024
·
Yaqi Guo
, Saurav Sharma
, et al.
·
Advanced Intelligent Systems
·
22
HyperCAN: Hypernetwork-driven deep parameterized constitutive models for metamaterials
2024
·
Li Zheng
, Dennis M. Kochmann
, et al.
·
Extreme Mechanics Letters
·
19
Neural cellular automata for solidification microstructure modelling
2023
·
Jian Tang
, Siddhant Kumar
, et al.
·
Computer Methods in Applied Mechanics and Engineering
·
19
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Works count:
78
Citation count:
2,810
H-index:
22
I10-index:
32
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