검색결과 : 3건
| No. | Article |
|---|---|
| 1 |
Data-driven physics-informed constitutive metamodeling of complex fluids: A multifidelity neural network (MFNN) framework Mahmoudabadbozchelou M, Caggioni M, Shahsavari S, Hartt WH, Karniadakis GE, Jamali S Journal of Rheology, 65(2), 179, 2021 |
| 2 |
Efficient Simulation Sampling Allocation Using Multifidelity Models Peng YJ, Xu J, Lee LH, Hu JQ, Chen CH IEEE Transactions on Automatic Control, 64(8), 3156, 2019 |
| 3 |
Efficient uncertainty quantification of stochastic heat transfer problems by combination of proper orthogonal decomposition and sparse polynomial chaos expansion Mohammadi A, Raisee M International Journal of Heat and Mass Transfer, 128, 581, 2019 |