| 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 |
Hidden fluid mechanics: Learning velocity and pressure fields from flow visualizations
Raissi M, Yazdani A, Karniadakis GE
Science, 367(6481), 1026, 2020 |
| 3 |
Self-Cleaning of Hydrophobic Rough Surfaces by Coalescence-Induced Wetting Transition
Zhang KX, Li Z, Maxey M, Chen S, Karniadakis GE
Langmuir, 35(6), 2431, 2019 |
| 4 |
Understanding the Twisted Structure of Amyloid Fibrils via Molecular Simulations
Lu L, Deng YX, Li XJ, Li H, Karniadakis GE
Journal of Physical Chemistry B, 122(49), 11302, 2018 |
| 5 |
Non-Equilibrium Dynamics of Vesicles and Micelles by Self-Assembly of Block Copolymers with Double Thermoresponsivity
Tang YH, Li Z, Li XJ, Deng MG, Karniadakis GE
Macromolecules, 49(7), 2895, 2016 |
| 6 |
Dynamic and rheological properties of soft biological cell suspensions
Yazdani A, Li XJ, Karniadakis GE
Rheologica Acta, 55(6), 433, 2016 |
| 7 |
A phase-field method for 3D simulation of two-phase heat transfer
Zheng X, Babaee H, Dong S, Chryssostomidis C, Karniadakis GE
International Journal of Heat and Mass Transfer, 82, 282, 2015 |
| 8 |
Supercritical quasi-conduction states in stochastic Rayleigh-Benard convection
Venturi D, Choi M, Karniadakis GE
International Journal of Heat and Mass Transfer, 55(13-14), 3732, 2012 |
| 9 |
Rheology, Microstructure and Migration in Brownian Colloidal Suspensions
Pan WX, Caswell B, Karniadakis GE
Langmuir, 26(1), 133, 2010 |
| 10 |
Shape Transformations of Membrane Vesicles from Amphiphilic Triblock Copolymers: A Dissipative Particle Dynamics Simulation Study
Li XJ, Pivkin IV, Liang HJ, Karniadakis GE
Macromolecules, 42(8), 3195, 2009 |
