Arun Kaintura
Arun Kaintura
K-Structura Consultancy
Verified email at k-structura.com
Title
Cited by
Cited by
Year
Review of polynomial chaos-based methods for uncertainty quantification in modern integrated circuits
A Kaintura, T Dhaene, D Spina
Electronics 7 (3), 30, 2018
572018
Measurement uncertainty propagation in transistor model parameters via polynomial chaos expansion
A Petrocchi, A Kaintura, G Avolio, D Spina, T Dhaene, A Raffo, ...
IEEE Microwave and Wireless Components Letters 27 (6), 572-574, 2017
142017
A Kriging and Stochastic Collocation ensemble for uncertainty quantification in engineering applications
A Kaintura, D Spina, I Couckuyt, L Knockaert, W Bogaerts, T Dhaene
Engineering with Computers 33 (4), 935-949, 2017
102017
Machine learning for fast characterization of magnetic logic devices
A Kaintura, K Foss, I Couckuyt, T Dhaene, O Zografos, A Vaysset, B Sorée
2018 IEEE Electrical Design of Advanced Packaging and Systems Symposium …, 2018
52018
Fast Characterization of Input-Output Behavior of Non-Charge-Based Logic Devices by Machine Learning
A Kaintura, K Foss, O Zografos, I Couckuyt, A Vaysset, T Dhaene, B Sorée
Electronics 9 (9), 1381, 2020
2020
Data-efficient machine learning for physics-based simulations
A Kaintura
Ghent University, 2019
2019
Comparison study of PC and kriging based surrogate modeling
A Kaintura, D Spina, I Couckuyt, T Dhaene
ECCOMAS, Conference on CFD and Optimization, 1-1, 2016
2016
The system can't perform the operation now. Try again later.
Articles 1–7