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Jingye Tan
Jingye Tan
在 cornell.edu 的电子邮件经过验证
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年份
Solution-shearing of dielectric polymer with high thermal conductivity and electric insulation
Z Li, L An, S Khuje, J Tan, Y Hu, Y Huang, D Petit, D Faghihi, J Yu, S Ren
Science Advances 7 (40), eabi7410, 2021
342021
A predictive discrete-continuum multiscale model of plasticity with quantified uncertainty
J Tan, U Villa, N Shamsaei, S Shao, HM Zbib, D Faghihi
International Journal of Plasticity 138, 102935, 2021
292021
Bayesian inference of tissue heterogeneity for individualized prediction of glioma growth
B Liang, J Tan, L Lozenski, DA Hormuth, TE Yankeelov, U Villa, D Faghihi
IEEE Transactions on Medical Imaging 42 (10), 2865-2875, 2023
82023
A predictive multiphase model of silica aerogels for building envelope insulations
J Tan, P Maleki, L An, M Di Luigi, U Villa, C Zhou, S Ren, D Faghihi
Computational Mechanics 69 (6), 1457-1479, 2022
62022
Flexible percolation fibrous thermal insulating composite membranes for thermal management
L An, M Di Luigi, J Tan, D Faghihi, S Ren
Materials Advances 4 (1), 284-290, 2023
42023
A nonlocal theory of heat transfer and micro-phase separation of nanostructured copolymers
PK Singh, L Cao, J Tan, D Faghihi
International Journal of Heat and Mass Transfer 215, 124474, 2023
32023
NN-EVP: A physics informed neural network-based elasto-viscoplastic framework for predictions of grain size-aware flow response
A Eghtesad, J Tan, JN Fuhg, N Bouklas
International Journal of Plasticity 181, 104072, 2024
22024
A scalable framework for multi-objective PDE-constrained design of building insulation under uncertainty
J Tan, D Faghihi
Computer Methods in Applied Mechanics and Engineering 419, 116628, 2024
22024
Toward selecting optimal predictive multiscale models
J Tan, B Liang, PK Singh, KA Farrell-Maupin, D Faghihi
Computer Methods in Applied Mechanics and Engineering 402, 115517, 2022
22022
Predictive Modeling and Design of Ceramic Porous Materials Under Uncertainty
J Tan
State University of New York at Buffalo, 2023
12023
A Bayesian Machine Learning Framework for Selection of the Strain Gradient Plasticity Multiscale Model
J Tan, K Maupin, S Shao, D Faghihi
ASME International Mechanical Engineering Congress and Exposition 85680 …, 2021
12021
A Scalable Algorithm for Multi-Material Design of Thermal Insulation Components Under Uncertainty
J Tan, D Faghihi
arXiv preprint arXiv:2304.01139, 2023
2023
A Bayesian Framework for Validation and Selection of Multiscale Plasticity Models with Quantified Uncertainty.
J Tan, K Maupin, D Faghihi
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2021
2021
A Nonlocal Theory of Heat Transfer and Micro-Phase Separation of Nanostructured Copolymers
P Kumar Singh, L Cao, J Tan, D Faghihi
Available at SSRN 4440811, 0
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