Siddhant Kumar - Concepedia

Author

Siddhant Kumar

Also Known As

Dr. Siddhant Kumar, Karapiperis, Konstantinos, Kumar, Siddhant, Nguyen, Bichlien H., S. Kumar, SIDDHANT KUMAR, Sanjay Kumar, Siddhant Kumar

Publications

2.2K

Citations

H-Index

Concepts

All Affiliations

ETH Zurich Delft University of Technology California Institute of Technology Centre National de la Recherche Scientifique Indian Institute of Technology Delhi

About

Siddhant Kumar is an author at ETH Zurich specializing in engineering, mechanical engineering, and mechanics of materials.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	9	9	299
2	Applied Physics	3	3	66
3	Natural Sciences	2	2	158
4	Biomedical Engineering	1	1	16
5	Data Science	1	1	131

Siddhant Kumar

Publications

Citations

H-Index

Page 1

	Year	Citations
Inverse-designed spinodoid metamaterials Siddhant Kumar, Stephanie Tan, Li Zheng, npj Computational Materials	2020	380
Unsupervised discovery of interpretable hyperelastic constitutive laws Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis Computer Methods in Applied Mechanics and Engineering	2021	224
Inverting the structure–property map of truss metamaterials by deep learning Jan-Hendrik Bastek, Siddhant Kumar, Bastian Telgen, Proceedings of the National Academy of Sciences	2021	213
Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy Li Zheng, Siddhant Kumar, Dennis M. Kochmann Repository for Publications and Research Data (ETH Zurich)	2021	165
Unifying the design space and optimizing linear and nonlinear truss metamaterials by generative modeling Li Zheng, Konstantinos Karapiperis, Siddhant Kumar, Nature Communications	2023	146
NN-EUCLID: Deep-learning hyperelasticity without stress data Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Journal of the Mechanics and Physics of Solids	2022	139
Automated discovery of generalized standard material models with EUCLID Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis Computer Methods in Applied Mechanics and Engineering EngineeringMultiscale MechanicsMechanical EngineeringMaterial SimulationAutomated Discovery	2023	131
Discovering plasticity models without stress data Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis npj Computational Materials	2022	104
Bayesian-EUCLID: discovering hyperelastic material laws with\n uncertainties Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, arXiv (Cornell University)	2022	74
Automated identification of linear viscoelastic constitutive laws with EUCLID Enzo Marino, Moritz Flaschel, Siddhant Kumar, Mechanics of Materials	2023	49

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