| MagNet: An open-source database for data-driven magnetic core loss modeling H Li, D Serrano, T Guillod, E Dogariu, A Nadler, S Wang, M Luo, V Bansal, ... 2022 IEEE Applied Power Electronics Conference and Exposition (APEC), 588-595, 2022 | 45 | 2022 |
| Why magnet: Quantifying the complexity of modeling power magnetic material characteristics D Serrano, H Li, S Wang, T Guillod, M Luo, V Bansal, NK Jha, Y Chen, ... IEEE Transactions on Power Electronics, 2023 | 44 | 2023 |
| Transfer learning methods for magnetic core loss modeling E Dogariu, H Li, DS López, S Wang, M Luo, M Chen 2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics …, 2021 | 30 | 2021 |
| How magnet: Machine learning framework for modeling power magnetic material characteristics H Li, D Serrano, T Guillod, S Wang, E Dogariu, A Nadler, M Luo, V Bansal, ... IEEE Transactions on Power Electronics, 2023 | 27 | 2023 |
| MagNet-AI: Neural network as datasheet for magnetics modeling and material recommendation H Li, D Serrano, S Wang, M Chen IEEE Transactions on Power Electronics, 2023 | 26 | 2023 |
| Neural network as datasheet: Modeling BH loops of power magnetics with sequence-to-sequence LSTM encoder-decoder architecture D Serrano, H Li, T Guillod, S Wang, M Luo, CR Sullivan, M Chen 2022 IEEE 23rd Workshop on Control and Modeling for Power Electronics …, 2022 | 25 | 2022 |
| Predicting the BH loops of power magnetics with transformer-based encoder-projector-decoder neural network architecture H Li, D Serrano, S Wang, T Guillod, M Luo, M Chen 2023 IEEE Applied Power Electronics Conference and Exposition (APEC), 1543-1550, 2023 | 12 | 2023 |
| Calculation of ferrite core losses with arbitrary waveforms using the composite waveform hypothesis T Guillod, JS Lee, H Li, S Wang, M Chen, CR Sullivan 2023 IEEE Applied Power Electronics Conference and Exposition (APEC), 1586-1593, 2023 | 11 | 2023 |
| A simplified dc-bias injection method with mirror transformer for magnetic material characterization S Wang, D Serrano, H Li, A Lin, T Guillod, M Luo, CR Sullivan, M Chen 2023 IEEE Applied Power Electronics Conference and Exposition (APEC), 1565-1571, 2023 | 7 | 2023 |
| Generalized optimal svpwm for the switched-capacitor voltage boost converter S Wang, A Janabi, B Wang 2020 IEEE Energy Conversion Congress and Exposition (ECCE), 2708-2711, 2020 | 7 | 2020 |
| Six-phase three-level neutral point clamped inverter for capacitor voltage balancing and common-mode voltage cancellation S Wang, M Fereydoonian, W Lee 2021 IEEE Applied Power Electronics Conference and Exposition (APEC), 1091-1096, 2021 | 4 | 2021 |
| MagNet-AI: Neural network as datasheet for magnetics modeling and material recommendation M Chen, H Li, D Serrano, S Wang Authorea Preprints, 2023 | 2 | 2023 |
| A Simplified Dc-Bias Injection Method for Characterizing Power Magnetics using a Voltage Mirror Transformer S Wang, H Li, D Serrano, T Guillod, J Li, C Sullivan, M Chen IEEE Transactions on Power Electronics, 2024 | 1 | 2024 |
| Switched-Capacitor Bidirectional Voltage Buck-Boost dc-ac Converter with Single SiC Leg A Janabi, S Wang, B Wang 2019 IEEE 7th Workshop on Wide Bandgap Power Devices and Applications (WiPDA …, 2019 | 1 | 2019 |
| MagNet Challenge for Data-Driven Power Magnetics Modeling M Chen, H Li, S Wang, T Guillod, D Serrano, N Forster, W Kirchgassner, ... IEEE Open Journal of Power Electronics, 2024 | | 2024 |
| A Pulsed 6.78 MHz Inductive Wireless Power Transfer System for Quantum Cascade Lasers S Wang, R Brun, C Gmachl, M Chen 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), 267-272, 2024 | | 2024 |
| Investigating the Mutual Impact of Waveform, Temperature, and Dc-Bias on Magnetic Core Loss using Neural Network Models J Li, E Deleu, W Lee, H Li, M Chen, S Wang 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), 391-395, 2024 | | 2024 |
| Multi-Material Power Magnetics Modeling with a Modular and Scalable Machine Learning Framework E Deleu, H Li, J Li, W Lee, T Guillod, CR Sullivan, S Wang, M Chen 2024 IEEE Applied Power Electronics Conference and Exposition (APEC), 370-377, 2024 | | 2024 |
| Compact Neural-Network Digital-Twin Models and Material Comparison for Power Magnetics H Li, S Wang, M Chen 2023 IEEE Energy Conversion Congress and Exposition (ECCE), 5624-5631, 2023 | | 2023 |
| Mitigating dv/dt Stress Caused by the Line-line Voltage Polarity Reversal in Model Predictive Controlled VSI Drives A Janabi, S Wang, J Buys, B Wang 2020 IEEE Energy Conversion Congress and Exposition (ECCE), 5132-5135, 2020 | | 2020 |
Minjie ChenAssociate Professor, Princeton UniversityVerified email at princeton.edu
