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Fuhg, Jan N.
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1

Physics-informed data-driven discovery of constitutive mode..:

Upadhyay, Kshitiz ; Fuhg, Jan N. ; Bouklas, Nikolaos.
Computational Mechanics.  , 2024
Link: https://doi.org/10.1007/..
 
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2

Establishing the relationship between generalized crystallo..:

Wees, Lloyd van ; Shankar, Karthik ; Fuhg, Jan N....
Materialia.  36 (2024)  - p. 102151 , 2024
Link: https://doi.org/10.1016/..
 
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3

The mixed Deep Energy Method for resolving concentration fe..:

Fuhg, Jan N. ; Bouklas, Nikolaos
Journal of Computational Physics.  451 (2022)  - p. 110839 , 2022
Link: https://doi.org/10.1016/..
 
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4

Enhancing high-fidelity nonlinear solver with reduced order..:

Kadeethum, Teeratorn ; O'Malley, Daniel ; Ballarin, Francesco...
Scientific Reports.  12 (2022)  1 - p. , 2022
Link: https://doi.org/10.1038/..
 
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5

Local approximate Gaussian process regression for data-driv..:

Fuhg, Jan N. ; Marino, Michele ; Bouklas, Nikolaos
Computer Methods in Applied Mechanics and Engineering.  388 (2022)  - p. 114217 , 2022
Link: https://doi.org/10.1016/..
 
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6

Machine-learning convex and texture-dependent macroscopic y..:

Fuhg, Jan N. ; van Wees, Lloyd ; Obstalecki, Mark...
Materialia.  23 (2022)  - p. 101446 , 2022
Link: https://doi.org/10.1016/..
 
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7

Interval and fuzzy physics-informed neural networks for unc..:

Fuhg, Jan N. ; Kalogeris, Ioannis ; Fau, Amélie.
Probabilistic Engineering Mechanics.  68 (2022)  - p. 103240 , 2022
Link: https://doi.org/10.1016/..
 
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8

On physics-informed data-driven isotropic and anisotropic c..:

Fuhg, Jan N. ; Bouklas, Nikolaos
Computer Methods in Applied Mechanics and Engineering.  394 (2022)  - p. 114915 , 2022
Link: https://doi.org/10.1016/..
 
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9

A classification-pursuing adaptive approach for Gaussian pr..:

Fuhg, Jan N. ; Fau, Amélie
Mechanical Systems and Signal Processing.  162 (2022)  - p. 107976 , 2022
Link: https://doi.org/10.1016/..
 
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10

PI/PID controller stabilizing sets of uncertain nonlinear s..:

Urrea-Quintero, Jorge-Humberto ; Fuhg, Jan N. ; Marino, Michele.
Nonlinear Dynamics.  105 (2021)  1 - p. 277-299 , 2021
Link: https://doi.org/10.1007/..
 
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11

Efficient surrogate strategy for investigating stick‐slip i..:

Fau, Amelie ; Fuhg, Jan N.
PAMM.  21 (2021)  1 - p. , 2021
Link: https://doi.org/10.1002/..
 
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12

State-of-the-Art and Comparative Review of Adaptive Samplin..:

Fuhg, Jan N. ; Fau, Amélie ; Nackenhorst, Udo
Archives of Computational Methods in Engineering.  28 (2020)  4 - p. 2689-2747 , 2020
Link: https://doi.org/10.1007/..
 
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13

Surrogate model approach for investigating the stability of..:

Fuhg, Jan N. ; Fau, Amélie
Nonlinear Dynamics.  98 (2019)  3 - p. 1709-1729 , 2019
Link: https://doi.org/10.1007/..
 
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14

Extreme sparsification of physics-augmented neural networks..:

Fuhg, Jan N ; Jones, Reese E ; Bouklas, Nikolaos
http://arxiv.org/abs/2310.03652.  , 2023
Link: http://arxiv.org/abs/231..
 
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15

Stress representations for tensor basis neural networks: al..:

Fuhg, Jan N ; Bouklas, Nikolaos ; Jones, Reese E
http://arxiv.org/abs/2308.11080.  , 2023
Link: http://arxiv.org/abs/230..
 
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