Jesper Toft Kristensen
Jesper Toft Kristensen
Lead Engineer, GE Research
Bekræftet mail på ge.com - Startside
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Low-loss polarization-maintaining fusion splicing of single-mode fibers and hollow-core photonic crystal fibers, relevant for monolithic fiber laser pulse compression
JT Kristensen, A Houmann, X Liu, D Turchinovich
Optics express 16 (13), 9986-9995, 2008
552008
Hydronium-dominated ion transport in carbon-dioxide-saturated electrolytes at low salt concentrations in nanochannels
KL Jensen, JT Kristensen, AM Crumrine, MB Andersen, H Bruus, ...
Physical Review E 83 (5), 056307, 2011
432011
Expected-improvement-based methods for adaptive sampling in multi-objective optimization problems
J Kristensen, Y Ling, I Asher, L Wang
International Design Engineering Technical Conferences and Computers and …, 2016
222016
Bayesian uncertainty quantification in the evaluation of alloy properties with the cluster expansion method
J Kristensen, NJ Zabaras
Computer Physics Communications 185 (11), 2885-2892, 2014
222014
A strategy for adaptive sampling of multi-fidelity gaussian processes to reduce predictive uncertainty
S Ghosh, J Kristensen, Y Zhang, W Subber, L Wang
International Design Engineering Technical Conferences and Computers and …, 2019
192019
Relative entropy as model selection tool in cluster expansions
J Kristensen, I Bilionis, N Zabaras
Physical Review B 87 (17), 174112, 2013
162013
Bayesian multi-source modeling with legacy data
S Ghosh, I Asher, J Kristensen, Y Ling, K Ryan, L Wang
2018 AIAA Non-Deterministic Approaches Conference, 1663, 2018
142018
An intelligent sampling framework for multi-objective optimization in high dimensional design space
Y Ling, S Ghosh, I Asher, J Kristensen, K Ryan, L Wang
2018 AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials …, 2018
142018
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
132019
Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions
M Aldegunde, N Zabaras, J Kristensen
Journal of Computational Physics 323, 17-44, 2016
132016
A gaussian process modeling approach for fast robust design with uncertain inputs
KM Ryan, J Kristensen, Y Ling, S Ghosh, I Asher, L Wang
Turbo Expo: Power for Land, Sea, and Air 51135, V07AT32A012, 2018
122018
Adaptive simulation selection for the discovery of the ground state line of binary alloys with a limited computational budget
J Kristensen, I Bilionis, N Zabaras
Recent Progress and Modern Challenges in Applied Mathematics, Modeling and …, 2017
122017
Finding maximum expected improvement for high-dimensional design optimization
Y Zhang, J Kristensen, S Ghosh, T Vandeputte, J Tallman, L Wang
AIAA Aviation 2019 Forum, 2985, 2019
62019
Efficient robust design optimization using Gaussian process and intelligent sampling
Y Ling, K Ryan, I Asher, J Kristensen, S Ghosh, L Wang
2018 Multidisciplinary Analysis and Optimization Conference, 4175, 2018
52018
Predictive analytics with an advanced Bayesian modeling framework
J Kristensen, I Asher, Y Ling, K Ryan, A Subramaniyan, L Wang
MODSIM World 32, 1-10, 2017
52017
Predicting low-thermal-conductivity Si-Ge nanowires with a modified cluster expansion method
J Kristensen, NJ Zabaras
Physical Review B 91 (5), 054105, 2015
42015
Towards scalable gaussian process modeling
P Pandita, J Kristensen, L Wang
International Design Engineering Technical Conferences and Computers and …, 2019
32019
Polynomial representation of the gaussian process
J Kristensen, I Asher, L Wang
International Design Engineering Technical Conferences and Computers and …, 2018
22018
Theory of electrokinetic effects in nanofluidic channels
KL Jensen, JT Kristensen
Bachelor thesis, Department of Micro-and Nanotechnology Technical University …, 2010
12010
Multi-source modeling with legacy data
S Ghosh, J Kristensen
US Patent App. 16/549,338, 2020
2020
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