| Three dimensional phase-field investigation of droplet formation in microfluidic flow focusing devices with experimental validation F Bai, X He, X Yang, R Zhou, C Wang International Journal of Multiphase Flow 93, 130-141, 2017 | 135 | 2017 |
| Magnetic separation of microparticles by shape R Zhou, F Bai, C Wang Lab on a Chip 17 (3), 401-406, 2017 | 71 | 2017 |
| Numerical simulation of AC electrothermal micropump using a fully coupled model FJ Hong, F Bai, P Cheng Microfluidics and nanofluidics 13 (3), 411-420, 2012 | 39 | 2012 |
| Fabrication and integration of microscale permanent magnets for particle separation in microfluidics R Zhou, Q Yang, F Bai, JA Werner, H Shi, Y Ma, C Wang Microfluidics and nanofluidics 20 (7), 110, 2016 | 31 | 2016 |
| Deformation and coalescence of ferrodroplets in Rosensweig model using the phase field and modified level set approaches under uniform magnetic fields F Bai, D Han, X He, X Yang Communications in Nonlinear Science and Numerical Simulation 85, 105213, 2020 | 30 | 2020 |
| Reduced-Order Modeling based on Hybrid Snapshot Simulation F Bai University of South Carolina, 2021 | 16 | 2021 |
| DEIM reduced order model constructed by hybrid snapshot simulation F Bai, Y Wang SN Applied Sciences 2 (12), 2165, 2020 | 15 | 2020 |
| A reduced order modeling method based on GNAT-embedded hybrid snapshot simulation F Bai, Y Wang Mathematics and Computers in Simulation 199, 100-132, 2022 | 14 | 2022 |
| A parametric study of electrothermal flow inside an AC EWOD droplet F Hong, F Bai, P Cheng International Communications in Heat and Mass Transfer 55, 63-70, 2014 | 10 | 2014 |
| DEIM-embedded hybrid snapshot simulation for reduced order model generation F Bai, Y Wang Engineering Computations 39 (10), 3321-3353, 2022 | 7 | 2022 |
| A reduced order modeling approach with Petrov–Galerkin projection based on hybrid snapshot simulation in Semilinear-PDEs F Bai Journal of Computational Science 67, 101969, 2023 | 5 | 2023 |
| A novel energy-based phase field model for ferrodroplet deformation and breakup in a uniform magnetic field F Bai, R Li, X Yang, X He, C Wang arXiv preprint arXiv:1704.00645, 2017 | 5 | 2017 |
| Enhancing speedup in multifidelity training process by design automation to generate online reduced-order models in Convection–Diffusion–Reaction systems F Bai Advances in Engineering Software 202, 103864, 2025 | 1 | 2025 |
| Numerical investigations of reduced-order models with time-varying parameters generated by hybrid training with automatic hyper-reduction in nonlinear diffusion-reaction systems F Bai Mathematics and Computers in Simulation, 2025 | | 2025 |
| Model-driven prediction for accelerator magnet diagnostics to improve operation reliability M Song, F Bai, Y Hu, FH O’Shea, D Ratner, R Smith, G Wang Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2025 | | 2025 |
| Temperature prediction and control for accelerators by using automated piecewise linear and overlapped piecewise linear regression methods F Bai, R Smith ARW2022, 2022 | | 2022 |
| Experimental Research on the Transporting, Merging and Oscillation for Electrowetting Droplets on the Dielectric F Bai, F Hong Weina Dianzi Jishu(Micronanoelectronic Technology) 49 (8), 526-533, 2012 | | 2012 |
| Experimental Research on the Transporting, Merging and Oscillation for Electrowetting Droplets on the Dielectric B Feng, H Fangjun Micronanoelectronic Technology, 2012 | | 2012 |
Xiaoming HeProfessor, Department of Mathematics and Statistics, Missouri University of Science and TechnologyVerified email at mst.edu
