Natarajan Chennimalai Kumar
Natarajan Chennimalai Kumar
General Electric Global Research Center
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Cited by
Cited by
Mechanobiology of the skeleton.
CH Turner, SJ Warden, T Bellido, LI Plotkin, N Kumar, I Jasiuk, J Danzig, ...
Science signaling 2 (68), pt3, 2009
Reconstruction of periodic unit cells of multimodal random particulate composites using genetic algorithms
NC Kumar, K Matouš, PH Geubelle
Computational Materials Science 42 (2), 352-367, 2008
Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective
KS Aggour, VK Gupta, D Ruscitto, L Ajdelsztajn, X Bian, KH Brosnan, ...
MRS Bulletin 44 (7), 545-558, 2019
Numerical modeling of long bone adaptation due to mechanical loading: correlation with experiments
N Chennimalai Kumar, JA Dantzig, IM Jasiuk, AG Robling, CH Turner
Annals of biomedical engineering 38, 594-604, 2010
Improving high-dimensional physics models through Bayesian calibration with uncertain data
NC Kumar, AK Subramaniyan, L Wang
Turbo Expo: Power for Land, Sea, and Air 44731, 407-416, 2012
Advances in bayesian probabilistic modeling for industrial applications
S Ghosh, P Pandita, S Atkinson, W Subber, Y Zhang, NC Kumar, ...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B …, 2020
Modeling of cortical bone adaptation in a rat ulna: effect of frequency
NC Kumar, JA Dantzig, IM Jasiuk
Bone 50 (3), 792-797, 2012
Calibrating transient models with multiple responses using Bayesian inverse techniques
NC Kumar, AK Subramaniyan, L Wang, G Wiggs
Turbo Expo: Power for Land, Sea, and Air 55263, V07AT28A007, 2013
Dissipation energy as a stimulus for cortical bone adaptation
NC Kumar, I Jasiuk, J Dantzig
Journal of Mechanics of Materials and Structures 6 ((1-4)), 303-319, 2011
Application of computational tools in alloy design
A Suzuki, C Shen, NC Kumar
MRS Bulletin 44 (4), 247-251, 2019
Industrial applications of intelligent adaptive sampling methods for multi-objective optimization
J Kristensen, W Subber, Y Zhang, S Ghosh, NC Kumar, G Khan, L Wang
Design and Manufacturing, 2019
Enhancing high-dimensional physics models for accurate predictions with Bayesian calibration
AK Subramaniyan, NC Kumar, L Wang, D Beeson, G Wiggs
Propulsion-Safety and Affordable Readiness Conference, 2012
Methods and systems for implementing a data reconciliation framework
IM Asher, AR Cerrone, Y Ling, A Srivastava, AK Subramaniyan, F Viana, ...
US Patent 10,394,770, 2019
Probabilistic validation of complex engineering simulations with sparse data
AK Subramaniyan, N Chennimalai Kumar, L Wang
Turbo Expo: Power for Land, Sea, and Air 45776, V07BT30A003, 2014
A PHYSICS-INFORMED DATA DRIVEN APPROACH TO ADDITIVE MANUFACTURING PARAMETER OPTIMIZATION: A novel framework including experimental and model-based techniques saves time and …
LC Dial, S Ghosh, NC Kumar, VS Kumar, VK Gupta, T Hanlon, ...
Advanced Materials & Processes 177 (7), 16-22, 2019
System architecture for secure and rapid development, deployment and management of analytics and software systems
AK Subramaniyan, J Lazos, NC KUMAR, A Iankoulski, ...
US Patent 10,481,874, 2019
Systems and methods for data estimation and forecasting
AK Subramaniyan, FAC Viana, FN de Paula, NC Kumar
US Patent 10,438,126, 2019
Systems and methods for predicting asset specific service life in components
AK Subramaniyan, KMKG Khan, FAC Viana, NC Kumar
US Patent App. 14/985,971, 2017
Multiscale modeling of dewetting damage in highly filled particulate composites
PH Geubelle, HM Inglis, JD Kramer, JJ Patel, NC Kumar, H Tan
AIP Conference Proceedings 973 (1), 196-202, 2008
In-situ monitoring system assisted material and parameter development for additive manufacturing
VK Gupta, NC KUMAR, AJ Vinciquerra, LC Dial, VS Dheeradhada, ...
US Patent 11,472,115, 2022
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