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ORCIDLukás Novák
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Journal Articles
- 2025
[j4]Lukás Novák, Marcos A. Valdebenito
, Matthias G. R. Faes:
On fractional moment estimation from polynomial chaos expansion. Reliab. Eng. Syst. Saf. 254: 110594 (2025)- 2024
- [j3]Lukás Novák, Himanshu Sharma, Michael D. Shields:
Physics-informed polynomial chaos expansions. J. Comput. Phys. 506: 112926 (2024) - 2023
- [j2]Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner:
UQpy v4.1: Uncertainty quantification with Python. SoftwareX 24: 101561 (2023) - 2020
- [j1]Lukás Novák, Drahomír Novák:
On Taylor Series Expansion for Statistical Moments of Functions of Correlated Random Variables. Symmetry 12(8): 1379 (2020)
Conference and Workshop Papers
- 2023
- [c4]Lukás Novák, Miroslav Macík, Bozena Mannová:
Coping with Depression. INTERACT Workshops (1) 2023: 146-152 - 2022
- [c3]Lukás Novák, David Lehký, Drahomír Novák:
Sensitivity Analysis of Engineering Structures Utilizing Artificial Neural Networks and Polynomial Chaos Expansion. LOD (1) 2022: 181-196 - [c2]David Lehký, Lukás Novák, Drahomír Novák:
Surrogate Modeling for Stochastic Assessment of Engineering Structures. LOD (2) 2022: 388-401 - 2021
- [c1]Michal Mikulasek, Pavel Masek, Martin Stusek, Lukás Novák, Radek Mozny, Jiri Hosek:
Optimizing the Switching Speed of the Current Probe Utilizing the FPGA for Input Signal Processing. ICUMT 2021: 174-181
Informal and Other Publications
- 2024
- [i5]Himanshu Sharma, Lukás Novák, Michael D. Shields:
Physics-constrained polynomial chaos expansion for scientific machine learning and uncertainty quantification. CoRR abs/2402.15115 (2024) - [i4]Lukás Novák, Marcos A. Valdebenito, Matthias G. R. Faes:
On Fractional Moment Estimation from Polynomial Chaos Expansion. CoRR abs/2403.01948 (2024) - 2023
- [i3]Lukás Novák, Michael D. Shields, Václav Sadílek, Miroslav Vorechovský:
Active Learning-based Domain Adaptive Localized Polynomial Chaos Expansion. CoRR abs/2301.13635 (2023) - [i2]Dimitrios Tsapetis, Michael D. Shields, Dimitris G. Giovanis, Audrey Olivier, Lukás Novák, Promit Chakroborty, Himanshu Sharma, Mohit Chauhan, Katiana Kontolati, Lohit Vandanapu, Dimitrios Loukrezis, Michael Gardner:
UQpy v4.1: Uncertainty Quantification with Python. CoRR abs/2305.09572 (2023) - [i1]Lukás Novák, Himanshu Sharma, Michael D. Shields:
Physics-Informed Polynomial Chaos Expansions. CoRR abs/2309.01697 (2023)
Coauthor Index
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