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J

Jan N. Fuhg

united states department of energy (doe)

18H-index
62Paper Count
1.4KCitation Count
Published Papers 29
Publication Date
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Differentiable neural network representation of multi-well, locally-convex potentials
errJournal of Computational Physics
IF3.8
err2026-01-14
err0
PREAI
errReese E. Jones; Adrian Buganza Tepole; Jan N. Fuhg
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A general, automated method for building structural tensors of arbitrary order for anisotropic function representations
errMathematics and Mechanics of Solids
IF1.7
err2026-01-01
err1
PREAI
errPatel, Ravi G.; Jones, Reese E.; Granzow, Brian N.; Seidl, D. Thomas; Fuhg, Jan N.
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Graph neural network surrogates for contacting deformable bodies with necessary and sufficient contact detection
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-09-26
err0
PREAI
errVijay K. Dubey; Collin E. Haese; Osman Gültekin; David Dalton; Manuel K. Rausch; Jan Fuhg
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Modeling semi-flexible biopolymer networks with geometrically exact, non-linear isogeometric beams
errJournal of the Mechanics and Physics of Solids
IF6
err2025-07-21
err0
PREAI
errMatthew J. Lohr; Soham Mane; Sotirios Kakaletsis; Grace N. Bechtel; Jan N. Fuhg; Berkin Dortdivanlioglu; Rui Huang; Manuel K. Rausch
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An attention-based neural ordinary differential equation framework for modeling inelastic processes
errComputer Methods in Applied Mechanics and Engineering
IF7.3
err2025-07-07
err0
PREAI
errReese E. Jones; Jan N. Fuhg
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errSave
Polyconvex physics-augmented neural network constitutive models in principal stretches
errInternational Journal of Solids and Structures
IF3.8
err2025-06-09
err0
PREAI
errAdrian Buganza Tepole; Asghar Arshad Jadoon; Manuel Rausch; Jan Niklas Fuhg
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Inverse design of anisotropic microstructures using physics-augmented neural networks
errJournal of the Mechanics and Physics of Solids
IF6
err2025-05-30
err0
PREAI
errAsghar A. Jadoon; Karl A. Kalina; Manuel K. Rausch; Reese Jones; Jan Niklas Fuhg
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Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-12-01
err0
PREAI
errPadmanabha, Govinda Anantha; Fuhg, Jan Niklas; Safta, Cosmin; Jones, Reese E.; Bouklas, Nikolaos
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A Review on Data-Driven Constitutive Laws for Solids
errARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
IF12.1
err2024-11-03
err1
PREAI
errFuhg, Jan N.; Padmanabha, Govinda Anantha; Bouklas, Nikolaos; Bahmani, Bahador; Sun, Waiching; Vlassis, Nikolaos N.; Flaschel, Moritz; Carrara, Pietro; De Lorenzis, Laura
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Polyconvex neural network models of thermoelasticity
errJOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF6
err2024-11-01
err4
errOAAI
errFuhg, Jan N.; Jadoon, Asghar; Weeger, Oliver; Seidl, D. Thomas; Jones, Reese E.
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NN-EVP: A physics informed neural network-based elasto-viscoplastic framework for predictions of grain size-aware flow response
errINTERNATIONAL JOURNAL OF PLASTICITY
IF12.8
err2024-10-01
err2
PREAI
errEghtesad, Adnan; Tan, Jingye; Fuhg, Jan Niklas; Bouklas, Nikolaos
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Establishing the relationship between generalized crystallographic texture and macroscopic yield surfaces using partial input convex neural networks
errMATERIALIA
IF2.9
err2024-08-01
err1
errOAAI
errvan Wees, Lloyd; Shankar, Karthik; Fuhg, Jan N.; Bouklas, Nikolaos; Shade, Paul; Obstalecki, Mark; Kasemer, Matthew
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Physics-informed data-driven discovery of constitutive models with application to strain-rate-sensitive soft materials
errCOMPUTATIONAL MECHANICS
IF3.8
err2024-06-17
err4
errOAAI
errUpadhyay, Kshitiz; Fuhg, Jan N.; Bouklas, Nikolaos; Ramesh, K. T.
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Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2024-06-01
err8
errOAAI
errFuhg, Jan Niklas; Jones, Reese Edward; Bouklas, Nikolaos
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errSave
Modular machine learning-based elastoplasticity: Generalization in the context of limited data
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2023-03-01
err27
errOAAI
errFuhg, Jan Niklas; Hamel, Craig M.; Johnson, Kyle; Jones, Reese; Bouklas, Nikolaos
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Enhancing high-fidelity nonlinear solver with reduced order model
errSCIENTIFIC REPORTS
IF3.9
err2022-11-23
err10
errOAAI
errKadeethum, Teeratorn; O'Malley, Daniel; Ballarin, Francesco; Ang, Ida; Fuhg, Jan N.; Bouklas, Nikolaos; Silva, Vinicius L. S.; Salinas, Pablo; Heaney, Claire E.; Pain, Christopher C.; Lee, Sanghyun; Viswanathan, Hari S.; Yoon, Hongkyu
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Learning hyperelastic anisotropy from data via a tensor basis neural network
errJOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
IF6
err2022-11-01
err29
errOAAI
errFuhg, J. N.; Bouklas, N.; Jones, R. E.
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errSave
Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations
errMATERIALIA
IF2.9
err2022-06-01
err36
errOAAI
errFuhg, Jan N.; van Wees, Lloyd; Obstalecki, Mark; Shade, Paul; Bouklas, Nikolaos; Kasemer, Matthew
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On physics-informed data-driven isotropic and anisotropic constitutive models through probabilistic machine learning and space-filling sampling
errCOMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
IF7.3
err2022-05-01
err67
errOAAI
errFuhg, Jan N.; Bouklas, Nikolaos
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Interval and fuzzy physics-informed neural networks for uncertain fields
errPROBABILISTIC ENGINEERING MECHANICS
IF3.5
err2022-04-01
err15
errOAAI
errFuhg, Jan N.; Kalogeris, Ioannis; Fau, Amelie; Bouklas, Nikolaos
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errSave

Research Directions

No research directions
Co-authors
Cooperation Journals
P
Peter Wriggers
H-index: 82 · Papers: 1.1K
K
K.T. Ramesh
H-index: 70 · Papers: 469
L
Laura De Lorenzis
H-index: 64 · Papers: 299
黄睿 cover
黄睿 (Rui Huang)
H-index: 59 · Papers: 451
C
Christopher C. Pain
H-index: 55 · Papers: 490
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