Siddhant Kumar

According to our database, Siddhant Kumar authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Inverse Designing Surface Curvatures by Deep Learning.

Yaqi Guo, Saurav Sharma, Siddhant Kumar

Adv. Intell. Syst., June, 2024

Deep learning reveals key predictors of thermal conductivity in covalent organic frameworks.

Prakash Thakolkaran, Yiwen Zheng, Yaqi Guo, Aniruddh Vashisth, Siddhant Kumar

CoRR, 2024

HyperCAN: Hypernetwork-Driven Deep Parameterized Constitutive Models for Metamaterials.

Li Zheng, Dennis M. Kochmann, Siddhant Kumar

CoRR, 2024

2023

Experiment-informed finite-strain inverse design of spinodal metamaterials.

Prakash Thakolkaran, Michael A. Espinal, Somayajulu Dhulipala, Siddhant Kumar, Carlos M. Portela

CoRR, 2023

A discontinuous Galerkin / cohesive zone model approach for the computational modeling of fracture in geometrically exact slender beams.

Sai Kubair Kota, Siddhant Kumar, Bianca Giovanardi

CoRR, 2023

Inverse Design of Vitrimeric Polymers by Molecular Dynamics and Generative Modeling.

Yiwen Zheng, Prakash Thakolkaran, Jake A. Smith, Ziheng Lu, Shuxin Zheng, Bichlien H. Nguyen, Siddhant Kumar, Aniruddh Vashisth

CoRR, 2023

Unifying the design space of truss metamaterials by generative modeling.

Li Zheng, Siddhant Kumar, Dennis M. Kochmann

CoRR, 2023

Enhanced Floating Isogeometric Analysis.

Helge C. Hille, Siddhant Kumar, Laura De Lorenzis

CoRR, 2023

Automated discovery of interpretable hyperelastic material models for human brain tissue with EUCLID.

Moritz Flaschel, Huitian Yu, Nina Reiter, Jan Hinrichsen, Silvia Budday, Paul Steinmann, Siddhant Kumar, Laura De Lorenzis

CoRR, 2023

2022

Numerical Approaches for Investigating Quasiconvexity in the Context of Morrey's Conjecture.

Jendrik Voss, Robert J. Martin, Oliver Sander, Siddhant Kumar, Dennis M. Kochmann, Patrizio Neff

J. Nonlinear Sci., 2022

Automated discovery of generalized standard material models with EUCLID.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2022

NN-EUCLID: deep-learning hyperelasticity without stress data.

Prakash Thakolkaran, Akshay Joshi, Yiwen Zheng, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022

Bayesian-EUCLID: discovering hyperelastic material laws with uncertainties.

Akshay Joshi, Prakash Thakolkaran, Yiwen Zheng, Maxime Escande, Moritz Flaschel, Laura De Lorenzis, Siddhant Kumar

CoRR, 2022

Discovering plasticity models without stress data.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2022

2021

Floating Isogeometric Analysis.

Helge C. Hille, Siddhant Kumar, Laura De Lorenzis

CoRR, 2021

What machine learning can do for computational solid mechanics.

Siddhant Kumar, Dennis M. Kochmann

CoRR, 2021

A Simple Short-Circuit Protection Scheme for Grid Connected Boost Converter using Output Voltage Characteristic.

Siddhant Kumar, Bharat Singh Rajpurohit

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2021

2020

Data-driven topology optimization of spinodoid metamaterials with seamlessly tunable anisotropy.

Li Zheng, Siddhant Kumar, Dennis M. Kochmann

CoRR, 2020

Unsupervised discovery of interpretable hyperelastic constitutive laws.

Moritz Flaschel, Siddhant Kumar, Laura De Lorenzis

CoRR, 2020

2019

Sentiment Analysis Using Cuckoo Search for Optimized Feature Selection on Kaggle Tweets.

Akshi Kumar, Arunima Jaiswal, Shikhar Garg, Shobhit Verma, Siddhant Kumar

Int. J. Inf. Retr. Res., 2019

gCrop: Internet-of-Leaf-Things (IoLT) for Monitoring of the Growth of Crops in Smart Agriculture.

Siddhant Kumar, Gourav Chowdhary, Venkanna Udutalapally, Debanjan Das, Saraju P. Mohanty

Proceedings of the IEEE International Symposium on Smart Electronic Systems, 2019

Body Weight Support Assisted Virtual Reality based Treadmill Walk with Gait Characterization.

Dhaval Solanki, Siddhant Kumar, Pradeep Raj, Uttama Lahiri

Proceedings of the 10th International Conference on Computing, 2019

2018

Association Learning based Hybrid Model for Cloud Workload Prediction.

Siddhant Kumar, Neha Muthiyan, Shaifu Gupta, Dileep Aroor Dinesh, Aditya Nigam

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Review of Converter Topologies for Battery Charging Applications in Plug-in Hybrid Electric Vehicles.

Siddhant Kumar, Adil Usman

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2018