Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design | Paper Citation Record

Observation e2468d39-6511-4c31-afe2-d40683b167e7 · outbound

This paper cites ‘Electrification in the transportation, buildings, and industrial sectors: a review of opportunities, barriers, and policies’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Electrification in the transportation, buildings, and industrial sectors: a review of opportunities, barriers, and policies’

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.968288Z

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Observation 3c813545-86ad-4801-8603-3386c284facd · outbound

This paper cites ‘Effect of the manufacturing impact on the optimal electric machine design and performance’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Effect of the manufacturing impact on the optimal electric machine design and performance’

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.955002Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 438af1ec-7435-476d-87a8-08bcfcc39690 · outbound

This paper cites ‘On the separation of aleatory and epistemic uncertainties in probabilistic assessments’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘On the separation of aleatory and epistemic uncertainties in probabilistic assessments’

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.939299Z

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Observation 2f239a29-d18d-49dc-bd37-a4763230dccc · outbound

This paper cites Uncertainty Quantification: Theory, Implementation, and Applications.Philadelphia, PA: SIAM, 2024.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design Uncertainty Quantification: Theory, Implementation, and Applications.Philadelphia, PA: SIAM, 2024

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.924905Z

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Observation 6173ff72-6db8-4ed3-ade2-16cb1067c00c · outbound

This paper cites ‘Modern Monte Carlo methods for efficient uncertainty quantification and propaga- tion: a survey’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Modern Monte Carlo methods for efficient uncertainty quantification and propaga- tion: a survey’

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.910656Z

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Observation 026b4bdb-db03-44d7-ab68-1f630a64c61a · outbound

This paper cites ‘Managing computational complexity using surrogate models: a critical review’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Managing computational complexity using surrogate models: a critical review’

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.896376Z

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Observation ba120281-e90d-42fa-b6a7-0ab8cd7792a5 · outbound

This paper cites an unresolved cited work.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:41:16.883754Z

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Observation c380c394-e561-4dbe-a175-4ec72f34765d · outbound

This paper cites ‘Stochastic response surfaces based on non-intrusive polynomial chaos for uncer- tainty quantification’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Stochastic response surfaces based on non-intrusive polynomial chaos for uncer- tainty quantification’

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.869344Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25ef1abc-982a-493c-8703-a59183e475e1 · outbound

This paper cites ‘Uncertainty quantification and statistical modeling of select- ive laser sintering process using polynomial chaos based response surface method’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Uncertainty quantification and statistical modeling of select- ive laser sintering process using polynomial chaos based response surface method’

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.855561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c1116bc3-edea-4910-bffa-a193992e9c13 · outbound

This paper cites ‘New neural network- based response surface method for reliability analysis of structures’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘New neural network- based response surface method for reliability analysis of structures’

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.842533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b83c324-13e4-4791-9fbc-df863a4336c6 · outbound

This paper cites ‘Artificial neural network based response surface for data-driven dimensional analysis’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Artificial neural network based response surface for data-driven dimensional analysis’

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.826235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1fdb847c-ce0a-46b3-bd0e-2377f90d72aa · outbound

This paper cites ‘Gaussian process model – an exploratory study in the response surface methodology’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Gaussian process model – an exploratory study in the response surface methodology’

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.813358Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8e3d91ea-8c6e-4f44-bdbc-a4d5dbbfe970 · outbound

This paper cites ‘Modeling and prediction of spindle dynamic precision using the Kriging- based response surface method with a novel sampling strategy’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Modeling and prediction of spindle dynamic precision using the Kriging- based response surface method with a novel sampling strategy’

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.798613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3838ea55-cc30-4822-af13-59f807bcacf7 · outbound

This paper cites ‘A survey of projection-based model reduction methods for parametric dynamical systems’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘A survey of projection-based model reduction methods for parametric dynamical systems’

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.785514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4448446e-645f-450b-95da-c62767d5e51e · outbound

This paper cites ‘Model order reduction’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Model order reduction’

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.771625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c28e0978-2c9b-4118-8f6e-c9a8c9839f1d · outbound

This paper cites ‘Nonlinear model order reduction via dynamic mode decom- position’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Nonlinear model order reduction via dynamic mode decom- position’

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.756218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 17635afe-086e-40dd-a317-0339716edda1 · outbound

This paper cites ‘Low-Rank Tensor Methods for Model Order Reduction’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Low-Rank Tensor Methods for Model Order Reduction’

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.741613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5e128ca-f674-45e0-a7ba-b2d0cf730fd3 · outbound

This paper cites ‘Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Uncertainty quantification for nonlinear solid mechanics using reduced order models with Gaussian process regression’

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.725480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a9a5e16-0111-44ac-962e-a160129fb6d5 · outbound

This paper cites ‘FastSVD–ML–ROM: A reduced-order modeling framework based on machine learning for real-time applications’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘FastSVD–ML–ROM: A reduced-order modeling framework based on machine learning for real-time applications’

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.712790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d80cab2-d162-4490-84d2-6395c03344e2 · outbound

This paper cites ‘Multi-fidelity reduced-order surrogate modelling’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Multi-fidelity reduced-order surrogate modelling’

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.696614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a75cb76-e357-4b16-b53f-604dd84a2e27 · outbound

This paper cites ‘Combined parameter and shape optimization of electric machines with isogeometric analysis’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Combined parameter and shape optimization of electric machines with isogeometric analysis’

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.683064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76dbed88-6bef-4d0b-93bb-83e1c601845d · outbound

This paper cites In:Computer Methods in Applied Mechanics and Engineering 194.39-41 (2005), pp.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design In:Computer Methods in Applied Mechanics and Engineering 194.39-41 (2005), pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.668292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fb96c8f3-d7ce-4c22-9e5b-aecf1b42ad25 · outbound

This paper cites ‘Dimensionality reduction in surrogate modeling: A review of combined methods’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Dimensionality reduction in surrogate modeling: A review of combined methods’

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.651454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 82a5b95d-a48f-4183-83a7-a62251319e28 · outbound

This paper cites ‘A review of data-driven surrogate models for design optimization of electric motors’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘A review of data-driven surrogate models for design optimization of electric motors’

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.638609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9f18a09-e280-4528-93a5-a5eec2d49312 · outbound

This paper cites JMAG-RT Model Library.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design JMAG-RT Model Library

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.625985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 37a3f4e3-40c4-4d85-83f0-025cfb866a94 · outbound

This paper cites MotorOptimization.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design MotorOptimization

Reference 26

Resolution: verified exact; doi, observed 2026-08-11T19:41:16.185317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a82ae9b-2315-4eba-a6bc-0a8ebad9e36d · outbound

This paper cites ‘A new design for the implementation of isogeometric analysis in Octave and Matlab: GeoPDEs 3.0’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘A new design for the implementation of isogeometric analysis in Octave and Matlab: GeoPDEs 3.0’

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.611567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 27bd5043-84cc-4832-954c-ae83d3d3f190 · outbound

This paper cites Berlin Heidelberg: Springer Verlag, 2012.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design Berlin Heidelberg: Springer Verlag, 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.598871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c31e2856-8b16-48c8-af95-a149d2cbce82 · outbound

This paper cites ‘Approximation estimates for isogeometric spaces in multipatch geometries’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Approximation estimates for isogeometric spaces in multipatch geometries’

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.586431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a64840da-e616-46d9-b60d-ce9c17c252c7 · outbound

This paper cites ‘On torque computation in electric machine simulation by harmonic mortar methods’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘On torque computation in electric machine simulation by harmonic mortar methods’

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.572978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 25fd0829-6074-426f-bc0e-fbc9e1656b39 · outbound

This paper cites ‘Isogeometric analysis and harmonic stator–rotor coupling for simulating electric machines’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Isogeometric analysis and harmonic stator–rotor coupling for simulating electric machines’

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.558889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f45eb3f-4007-4e39-b10f-43e02ba28df4 · outbound

This paper cites ‘Finite element method magnetics, version 4.2 (28feb2018 build)’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Finite element method magnetics, version 4.2 (28feb2018 build)’

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.546033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aaedac4e-7322-440a-ae43-db87fdd4629f · outbound

This paper cites ‘Response surface models for the uncer- tainty quantification of eccentric permanent magnet synchronous machines’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Response surface models for the uncer- tainty quantification of eccentric permanent magnet synchronous machines’

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.532056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91b98125-c8d5-4209-8a91-02a8abb899ee · outbound

This paper cites ‘Uncertainty quantification and sensitivity analysis in electrical machines with stochastically varying machine parameters’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Uncertainty quantification and sensitivity analysis in electrical machines with stochastically varying machine parameters’

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.517243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 458b3d61-27f4-4dba-a8dc-3ba42639d605 · outbound

This paper cites ‘A multilevel Monte Carlo method for high-dimensional uncertainty quanti- fication of low-frequency electromagnetic devices’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘A multilevel Monte Carlo method for high-dimensional uncertainty quanti- fication of low-frequency electromagnetic devices’

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.502279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc91b2e4-6066-4726-893d-4aed0ccf2043 · outbound

This paper cites In:IEEE Transactions on Energy Conversion 35.4 (2020), pp.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design In:IEEE Transactions on Energy Conversion 35.4 (2020), pp

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.489912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c598490a-5051-4f7b-bad4-419eee4ed138 · outbound

This paper cites ‘Robust shape optimization of electric devices based on deterministic optim- ization methods and finite-element analysis with affine parametrization and design elements’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Robust shape optimization of electric devices based on deterministic optim- ization methods and finite-element analysis with affine parametrization and design elements’

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.475476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 97c409da-eae4-4fc6-9cc2-66985de684f5 · outbound

This paper cites ‘Robust design optimization of electrical machines: multi-objective approach’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Robust design optimization of electrical machines: multi-objective approach’

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.457909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f390b43a-38a0-4504-9275-4e8cc6e908e5 · outbound

This paper cites ‘Multiobjective electric machine optimization for highest reliability demands’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Multiobjective electric machine optimization for highest reliability demands’

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.443166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22ca851f-b3aa-48c6-8f53-104c7e81dcc3 · outbound

This paper cites ‘The Wiener–Askey polynomial chaos for stochastic differential equations’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘The Wiener–Askey polynomial chaos for stochastic differential equations’

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.431545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2ecc255-b33c-4ddb-815d-3681a2b1c665 · outbound

This paper cites ‘Multivariate polynomial chaos expansions with dependent variables’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Multivariate polynomial chaos expansions with dependent variables’

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.419203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f9975cc0-0081-4338-98c1-0c844633d976 · outbound

This paper cites ‘Sparse polynomial chaos expansions: Literature survey and benchmark’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Sparse polynomial chaos expansions: Literature survey and benchmark’

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.405979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c9ab0558-51b5-47bf-bf74-16e71ec15e7e · outbound

This paper cites ‘Adaptive sparse polynomial chaos expansion based on least angle regression’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Adaptive sparse polynomial chaos expansion based on least angle regression’

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.393097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a84e20e-0c70-44ba-99d3-196ba00c7c31 · outbound

This paper cites ‘UQLab: A framework for uncertainty quantification in Mat- lab’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘UQLab: A framework for uncertainty quantification in Mat- lab’

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.381113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26fc9523-9ac7-4ab9-8886-9163123989ad · outbound

This paper cites ‘Optimization methods for large-scale machine learning’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Optimization methods for large-scale machine learning’

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.365376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3ecb595c-2948-4595-942f-ac81d7e76e5b · outbound

This paper cites ‘Automatic differentiation in machine learning: a survey’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Automatic differentiation in machine learning: a survey’

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.349887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a9fcd668-6a46-4bb7-97be-867720e24821 · outbound

This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T19:41:16.103305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44b0b3fb-d5a5-4d80-ac3f-d201fef81247 · outbound

This paper cites an unresolved cited work.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:41:16.336848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f60e70a7-351d-441a-8928-261ba8722e42 · outbound

This paper cites ‘Completely derandomized self-adaptation in evolution strategies’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Completely derandomized self-adaptation in evolution strategies’

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.324584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48be2372-9c7c-4c68-affe-6cc372154ef3 · outbound

This paper cites ‘Remarks on multi-output Gaussian process regression’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Remarks on multi-output Gaussian process regression’

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.309284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d0588635-38b9-452c-a6f6-1140efcef2d8 · outbound

This paper cites In:IEEE Transactions on Industrial Electronics58.5 (2010), pp.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design In:IEEE Transactions on Industrial Electronics58.5 (2010), pp

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.289852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31965695-110a-41ad-baab-7fcbefc63610 · outbound

This paper cites ‘Evaluation of interlaminar eddy currents in induction machines’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Evaluation of interlaminar eddy currents in induction machines’

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.276179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9351df48-7112-4260-833c-418387d2d607 · outbound

This paper cites ‘Principal component analysis’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Principal component analysis’

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.262746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 709e6717-0af3-471b-a5b1-70bd2d62d7b1 · outbound

This paper cites ‘The curse of dimensionality in data mining and time series prediction’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘The curse of dimensionality in data mining and time series prediction’

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.248691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c8f2a36-76c2-4ea5-9940-7fc2e603b35b · outbound

This paper cites ‘Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems’.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design ‘Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems’

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:41:16.233751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1b9b9d82-0546-4274-b843-f3af0a7cc15a · outbound

This paper cites Explanation Shift: How Did the Distribution Shift Impact the Model?.

Fourier-enhanced reduced-order surrogate modeling for uncertainty quantification in electric machine design Explanation Shift: How Did the Distribution Shift Impact the Model?

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-11T19:41:16.142471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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